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‎website/src/components/Plugin.astro‎

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@@ -397,7 +397,7 @@ function getAsideVariant(warning: PluginWarning): 'note' | 'tip' | 'caution' | '
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of new downloads per week. New version releases are marked with vertical lines.
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</p>
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<DownloadChart dataPoints={pluginDownloadData} versions={versions} client:visible />
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<DownloadChart dataPoints={pluginDownloadData} versions={versions} client:idle />
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<h2 id="version-history">Version History</h2>
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‎website/src/pages/pluginstats/community-plugin-list.astro‎

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@@ -37,7 +37,7 @@ const retiredByMonthDataPoints = view.removed_by_release_month(data);
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available.
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</p>
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<CountChart dataPoints={countDataPoints} type={ItemType.Plugin} client:visible />
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<CountChart dataPoints={countDataPoints} type={ItemType.Plugin} client:idle />
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<h2 id="new-plugins">New Plugins</h2>
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@@ -46,7 +46,7 @@ const retiredByMonthDataPoints = view.removed_by_release_month(data);
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smoothed.
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</p>
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<CountNewChart dataPoints={countDataPoints} type={ItemType.Plugin} client:visible />
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<CountNewChart dataPoints={countDataPoints} type={ItemType.Plugin} client:idle />
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<h2 id="removed-plugins">Removed Plugins</h2>
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@@ -55,9 +55,9 @@ const retiredByMonthDataPoints = view.removed_by_release_month(data);
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smoothed.
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</p>
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<CountRemovedChart dataPoints={countDataPoints} type={ItemType.Plugin} client:visible />
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<CountRemovedChart dataPoints={countDataPoints} type={ItemType.Plugin} client:idle />
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<p>This shows what percentage of plugins, sorted by their release month, have been removed from the community plugin list.</p>
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<RemovedByReleaseChart dataPoints={retiredByMonthDataPoints} type={ItemType.Plugin} client:visible />
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<RemovedByReleaseChart dataPoints={retiredByMonthDataPoints} type={ItemType.Plugin} client:idle />
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</StarlightPage>

‎website/src/pages/pluginstats/downloads.astro‎

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@@ -46,7 +46,7 @@ const downloadDistributionDataPoints = individualDownloadDataPoints
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>
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<p>The first graph depicts the total number of plugin downloads over time. The second graph shows the number of new plugin downloads per week.</p>
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<DownloadChart dataPoints={downloadDataPoints} client:visible />
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<DownloadChart dataPoints={downloadDataPoints} client:idle />
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<h2 id="plugin-downloads-correlations">Plugin Downloads Correlations</h2>
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@@ -55,19 +55,19 @@ const downloadDistributionDataPoints = individualDownloadDataPoints
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more releases. The second figure shows the correlation between the number of downloads and the initial release time.
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</p>
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<DownloadRelationChart dataPoints={downloadRelationDataPoints} client:visible />
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<DownloadRelationChart dataPoints={downloadRelationDataPoints} client:idle />
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<p>
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The chart below shows the correlation between the name of the plugin and the number of downloads. The regression line is calculated using the Simple Linear
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Regression algorithm. It is evident that there is a slight correlation between the placement of the plugin in the alphabet and the number of downloads.
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</p>
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<DownloadNameChart dataPoints={downloadNameDataPoints} client:visible />
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<DownloadNameChart dataPoints={downloadNameDataPoints} client:idle />
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<p>
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This chart shows the overall distribution of downloads, it is clear that the majority of plugins have a low number of downloads, with a few plugins having a
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very high number of downloads.
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</p>
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<DownloadDistributionChart dataPoints={downloadDistributionDataPoints} client:visible />
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<DownloadDistributionChart dataPoints={downloadDistributionDataPoints} client:idle />
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</StarlightPage>

‎website/src/pages/pluginstats/hall-of-fame.astro‎

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@@ -23,65 +23,65 @@ let view = dataArray.view();
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>
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<h3>Most Downloaded</h3>
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, null, false)} client:visible />
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, null, false)} client:idle />
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<h2 id="2025">2025 (Preliminary)</h2>
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<h3>Most Downloaded</h3>
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2025, false)} showDots={true} client:visible />
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2025, false)} showDots={true} client:idle />
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<h3>Most Downloaded New Plugins of 2025</h3>
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2025, true)} showDots={true} client:visible />
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2025, true)} showDots={true} client:idle />
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<h2 id="2024">2024</h2>
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<h3>Most Downloaded</h3>
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2024, false)} showDots={true} client:visible />
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2024, false)} showDots={true} client:idle />
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<h3>Most Downloaded New Plugins of 2024</h3>
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2024, true)} showDots={true} client:visible />
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2024, true)} showDots={true} client:idle />
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<h2 id="2023">2023</h2>
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<h3>Most Downloaded</h3>
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2023, false)} showDots={true} client:visible />
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2023, false)} showDots={true} client:idle />
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<h3>Most Downloaded New Plugins of 2023</h3>
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2023, true)} showDots={true} client:visible />
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2023, true)} showDots={true} client:idle />
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<h2 id="2022">2022</h2>
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<h3>Most Downloaded</h3>
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2022, false)} showDots={true} client:visible />
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2022, false)} showDots={true} client:idle />
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<h3>Most Downloaded New Plugins of 2022</h3>
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2022, true)} showDots={true} client:visible />
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2022, true)} showDots={true} client:idle />
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<h2 id="2021">2021</h2>
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<h3>Most Downloaded</h3>
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2021, false)} showDots={true} client:visible />
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2021, false)} showDots={true} client:idle />
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<h3>Most Downloaded New Plugins of 2021</h3>
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2021, true)} showDots={true} client:visible />
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2021, true)} showDots={true} client:idle />
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<h2 id="2020">2020</h2>
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<h3>Most Downloaded</h3>
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2020, false)} showDots={true} client:visible />
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2020, false)} showDots={true} client:idle />
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<h3>Most Downloaded New Plugins of 2020</h3>
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2020, true)} showDots={true} client:visible />
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<HallOfFameChart data={view.most_downloaded(dataArray, 10, 2020, true)} showDots={true} client:idle />
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</StarlightPage>

‎website/src/pages/pluginstats/licenses.astro‎

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@@ -53,7 +53,7 @@ const licenseDataPoints = view.license_data_points(dataArray, licenseDataFile);
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<code>Unrecognized</code> means that a license file was found, but the license could not be identified.
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</p>
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<BarChart dataPoints={licenseDataPoints.licenses} xLabel="License" yLabel="Number of Plugins" skewLabels hideBarValues client:visible />
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<BarChart dataPoints={licenseDataPoints.licenses} xLabel="License" yLabel="Number of Plugins" skewLabels hideBarValues client:idle />
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<p>Licenses that are used by more than 100 plugins are excluded from the chart below.</p>
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@@ -63,7 +63,7 @@ const licenseDataPoints = view.license_data_points(dataArray, licenseDataFile);
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yLabel="Number of Plugins"
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skewLabels
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hideBarValues
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client:visible
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client:idle
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/>
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<h2 id="license-terms">License Terms</h2>
@@ -74,7 +74,7 @@ const licenseDataPoints = view.license_data_points(dataArray, licenseDataFile);
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<p>A number of plugins give the following permissions.</p>
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<BarChart dataPoints={licenseDataPoints.permissions} xLabel="Permission" yLabel="Number of Plugins" skewLabels hideBarValues client:visible />
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<BarChart dataPoints={licenseDataPoints.permissions} xLabel="Permission" yLabel="Number of Plugins" skewLabels hideBarValues client:idle />
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{
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licenseDataPoints.descriptions.permissions.map(x => (
@@ -88,7 +88,7 @@ const licenseDataPoints = view.license_data_points(dataArray, licenseDataFile);
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<p>A number of plugins impose the following conditions.</p>
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<BarChart dataPoints={licenseDataPoints.conditions} xLabel="Condition" yLabel="Number of Plugins" skewLabels hideBarValues client:visible />
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<BarChart dataPoints={licenseDataPoints.conditions} xLabel="Condition" yLabel="Number of Plugins" skewLabels hideBarValues client:idle />
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{
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licenseDataPoints.descriptions.conditions.map(x => (
@@ -102,7 +102,7 @@ const licenseDataPoints = view.license_data_points(dataArray, licenseDataFile);
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<p>A number of plugins impose the following limitations.</p>
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<BarChart dataPoints={licenseDataPoints.limitations} xLabel="Limitation" yLabel="Number of Plugins" skewLabels hideBarValues client:visible />
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<BarChart dataPoints={licenseDataPoints.limitations} xLabel="Limitation" yLabel="Number of Plugins" skewLabels hideBarValues client:idle />
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{
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licenseDataPoints.descriptions.limitations.map(x => (

‎website/src/pages/pluginstats/repo-data.astro‎

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@@ -48,18 +48,18 @@ const desktopOnlyData = view.desktop_only_data(data);
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data in their manifest.
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</p>
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<BarChart dataPoints={mismatchedData} xLabel="Mismatched Data" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:visible />
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<BarChart dataPoints={mismatchedData} xLabel="Mismatched Data" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:idle />
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<p>
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Some fields in the manifest are optional, such as <code>authorUrl</code> and <code>fundingUrl</code>. Additionally, some plugin authors add extra,
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non-standard fields to the manifest, such as <code>helpUrl</code>. The following chart shows the percentage of plugins that have these fields set.
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</p>
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<BarChart dataPoints={optionalManifestFields} xLabel="Optional Manifest Fields" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:visible />
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<BarChart dataPoints={optionalManifestFields} xLabel="Optional Manifest Fields" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:idle />
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<p>Plugins can specify that they only work on the desktop version of Obsidian, which is useful for plugins that use features not available on mobile.</p>
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<BarChart dataPoints={desktopOnlyData} xLabel="Desktop Only" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:visible />
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<BarChart dataPoints={desktopOnlyData} xLabel="Desktop Only" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:idle />
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<h2 id="dependencies">Dependencies</h2>
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<p>The below chart shows the distribution of package managers used in plugins.</p>
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<BarChart dataPoints={dataPoints.package_managers} xLabel="Package Managers" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:visible />
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<BarChart dataPoints={dataPoints.package_managers} xLabel="Package Managers" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:idle />
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<p>
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{dataPoints.no_package_managers.toFixed(1)}% of plugins have no lockfile.
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> file.
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</p>
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<BarChart dataPoints={dataPoints.bundlers} xLabel="Code Bundlers" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:visible />
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<BarChart dataPoints={dataPoints.bundlers} xLabel="Code Bundlers" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:idle />
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<p>
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{dataPoints.no_bundlers.toFixed(1)}% of plugins use no code bundler.
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<p>Plugin developers like to use tooling to make their jobs easier. The chart below shows the usage percentage of common developer tooling.</p>
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<BarChart dataPoints={toolingDataPoints} xLabel="Tooling Dependencies" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:visible />
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<BarChart dataPoints={toolingDataPoints} xLabel="Tooling Dependencies" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:idle />
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<h3 id="testing-framework-usage">Testing Framework Usage</h3>
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> file of the plugin.
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</p>
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<BarChart dataPoints={dataPoints.testing_frameworks} xLabel="Testing Frameworks" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:visible />
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<BarChart dataPoints={dataPoints.testing_frameworks} xLabel="Testing Frameworks" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:idle />
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<p>
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{dataPoints.no_testing_frameworks.toFixed(1)}% of plugins use no testing framework.
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frameworks. The data is extracted from the <code>package.json</code> file of the plugin.
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</p>
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<BarChart dataPoints={frontEndFrameworksDataPoints} xLabel="Frontend Frameworks" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:visible />
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<BarChart dataPoints={frontEndFrameworksDataPoints} xLabel="Frontend Frameworks" yLabel="Percent of Plugins" yDomain={[0, 100]} percentages client:idle />
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<h3 id="most-used-dependencies">Most Used Dependencies</h3>
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‎website/src/pages/pluginstats/updates.astro‎

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@@ -25,12 +25,12 @@ const inactivityDistributionDataPoints = Array.from(view.inactivity_distribution
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<p>The following chart shows the overall distribution of plugin inactivity.</p>
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<InactivityDistributionChart dataPoints={inactivityDistributionDataPoints} client:visible />
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<InactivityDistributionChart dataPoints={inactivityDistributionDataPoints} client:idle />
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<p>
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The next chart shows years of inactivity grouped by the month in which the plugin was released. The negative space represents the percentage of plugins that
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have been updated within the last year.
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</p>
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<InactivityByReleaseChart dataPoints={inactivityDataPoints} client:visible />
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<InactivityByReleaseChart dataPoints={inactivityDataPoints} client:idle />
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</StarlightPage>

‎website/src/pages/releasestats/assets.astro‎

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@@ -25,7 +25,7 @@ const assetInstructionSet = dataArray.get_asset_instruction_set_percentages();
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distribution of how many assets of each type are included in all releases. The third bar shows the distribution of the average sizes of each asset type.
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</p>
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<StackedXBarChart dataPoints={assetTypes} percentages client:visible />
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<StackedXBarChart dataPoints={assetTypes} percentages client:idle />
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<p>
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The next graph shows the evolution of asset sizes over time. The data is split by asset type. Note that gaps may appear, as not every asset type is included
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> assets after version <code>1.6.0</code> are even larger, as they contain an x86, a 32 bit x86, and an ARM version of the app in a singe installer.
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</p>
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<AssetSizeChart dataPoints={assetSize} client:visible />
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<AssetSizeChart dataPoints={assetSize} client:idle />
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<p>
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This graph shows the split between downloads of assets for different instruction sets. The instruction set is the type of CPU architecture that the asset is
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installers that include both x86 and ARM versions, and are thus labeled as "Both".
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</p>
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<StackedXBarChart dataPoints={assetInstructionSet} percentages client:visible />
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<StackedXBarChart dataPoints={assetInstructionSet} percentages client:idle />
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</StarlightPage>

‎website/src/pages/releasestats/downloads.astro‎

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@@ -29,9 +29,9 @@ const downloadsPercentages = dataArray.total_downloads_per_version_by_os_as_perc
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<p>The below graph depicts the total number of downloads for every release, split by OS.</p>
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<StackedBarChart dataPoints={downloads} xLabel="Version Number" yLabel="Downloads" skewLabels client:visible />
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<StackedBarChart dataPoints={downloads} xLabel="Version Number" yLabel="Downloads" skewLabels client:idle />
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<p>This graph shows the distribution of downloads among the different operating systems.</p>
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<StackedBarChart dataPoints={downloadsPercentages} xLabel="Version Number" yLabel="Downloads" skewLabels percentages client:visible />
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<StackedBarChart dataPoints={downloadsPercentages} xLabel="Version Number" yLabel="Downloads" skewLabels percentages client:idle />
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</StarlightPage>

‎website/src/pages/releasestats/overview.astro‎

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@@ -54,7 +54,7 @@ const changelogCategories = dataArray.get_changelog_categories();
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grouped by category. This statistic is determined by simply counting the number of items in the changelog.
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</p>
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<ChangelogChart dataPoints={changelogChangesDataPoints} client:visible />
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<ChangelogChart dataPoints={changelogChangesDataPoints} client:idle />
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<p>
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The following table shows the sum of changes made in each minor release, grouped by category. Note that the number of changes in this table can be inflated,

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