Maintenance release with bugfixes and performance improvements

What's Changed

• Refined attribution approach for C vs. Python by @emeryberger in #1001
• Fix Python 3.14 compatibility for eval()/exec() keyword arguments by @emeryberger in #1002
• Fix memory explosion and extreme slowness during profiling by @emeryberger in #1004

Full Changelog: v2.1.3...v2.1.4

Improved attribution, off-line mode, and fix for Jupyter

What's Changed

• Fix loop backward-jump sampling bias with even redistribution by @emeryberger in #995
• Fix Google Analytics loading delay in offline/standalone mode by @Copilot in #996
• Fixed Jupyter magics. by @emeryberger in #997

Full Changelog: v2.1.2...v2.1.3

v2.1.2

What's Changed

Bug Fixes

• Fix Windows CPU profiling extreme slowness and memory explosion (#992): The v2.1 Windows timer loop hardcoded a 1ms sampling interval regardless of the configured rate (default 10ms), generating ~10x more samples than intended and reducing sys.setswitchinterval to 1ms causing excessive GIL contention. Now uses the actual configured sampling rate.

Improvements

• Bound memory footprint samples with reservoir sampling (#993): Replace unbounded list accumulation of memory footprint samples with sorted_reservoir (Vitter reservoir sampling), capping memory at O(k) instead of O(n) where n is the number of malloc/free events. Eliminates unbounded memory growth during long profiling runs.

Full Changelog: v2.1.1...v2.1.2

Improves JAX and TensorFlow support; fixes Windows issue

What's Changed

• Add library profiler infrastructure for JAX and TensorFlow by @emeryberger in #990
• Removes stray debug statements on Windows.

Full Changelog: v2.1.0...v2.1.1

Numerous updates and bug fixes

UI, Frontend & Visualization

• Convert scalene-gui JavaScript to TypeScript by @emeryberger in #970
• Add Google Gemini provider, environment variable support, and UI modernization by @emeryberger in #973
• Vendor assets locally for offline HTML viewer support by @emeryberger in #983
• Add per-file display mode dropdown for profile filtering (fixes #813) by @emeryberger in #989

LLM / API Provider Support

• Add support for OpenAI-compatible API servers and Anthropic (fixes #918) by @emeryberger in #971
• Add Google Gemini provider, environment variable support, and UI modernization by @emeryberger in #973

CPU & Core Profiling Engine

• Optimize CPU profiling instrumentation by @emeryberger in #988
• Fix crash when frame.f_lineno is None in Python 3.11+ by @emeryberger in #976

Multiprocessing, Exec, and Runtime Compatibility

• Fix multiprocessing spawn mode support (#873) by @emeryberger in #984
• Fix multiprocessing spawn mode sys.argv handling (#846) by @emeryberger in #986
• Add profiling support for exec'd code (fixes #824) by @emeryberger in #987
• Fix signal conflict crash with PyTorch Lightning and similar libraries by @emeryberger in #977

PyTorch & JIT Integration

• Add PyTorch JIT profiling support (fixes #908) by @emeryberger in #972

GPU & Apple Silicon

• Add per-process MPS GPU profiling for Apple Silicon by @emeryberger in #974

Windows Support & Reliability

• Improve Windows memory profiling error messages and documentation by @emeryberger in #978
• Fix Windows CPU profiling not collecting samples by @emeryberger in #980

Notebook & Editor Integration

• Fix Jupyter notebook display in VSCode (fixes #951) by @emeryberger in #969

v2.0.1

Trigger re-build to produce libscalene.dll.

Major new release: Windows memory profiling support, improved CLI, and performance optimizations

What's Changed

• Fix for pickling support (multiprocessing issue on Windows) by @emeryberger in #954
• CI update to 3.14 by @emeryberger in #955
• Restore 3.8 support by @emeryberger in #958
• Fixed formatting of CLI help. by @emeryberger in #962
• Overhauled CLI. by @emeryberger in #963
• Windows memory profiling by @emeryberger in #965
• Initial sys.monitoring approach for memory profiling. by @emeryberger in #966
• Refactor scalene_profiler.py into modular components by @emeryberger in #967

Full Changelog: v1.5.55...v2.0.0

Maintenance release for Windows

What's Changed

• Fix signal timer resetting by @sternj in #946
• Cleanup; fixes #947. by @emeryberger in #948
• Removed unused methods and variables. by @emeryberger in #949
• Removed cruft, privatized more methods. by @emeryberger in #950

Full Changelog: v1.5.54...v1.5.55

Compatibility with 3.14; bug fixes, improved CPU/GPU profiling

This release adds 3.14 compatibility, uses a more robust CPU/GPU sampling approach to avoid pathological behavior when the sampling rate aliases native execution epochs, and incorporates a prototype enhanced support for profiling certain Neuron workloads (mostly due to @nehamur). It also includes some bug fixes. Beyond that, the main scalene_profiler.py code has been significantly refactored to make it more manageable, and all code is now mypy and ruff "clean"; both linters are now part of the CI pipeline.

What's Changed

• Fixes a line-level attribution bug when using @profile by @emeryberger
• Py314 update by @emeryberger in #934
• Add neuron profiling support to Scalene GUI and profiler by @nehamur in #935
• Typed dict for arguments, fixing a bug by @emeryberger in #937
• Refactor scalene_profiler.py to improve modularity and reduce complexity by @Copilot in #938
• Cpu Timestamp + Visualization Changes by @nehamur in #940
• Random time samples added to GUI by @nehamur in #942
• Geometric sampling update by @emeryberger in #943

New Contributors

• @nehamur made their first contribution in #935

Full Changelog: v1.5.53...v1.5.54

Updated models, numerous minor fixes

What's Changed

• Updated AI models for OpenAI and Amazon Bedrock by @emeryberger
• Import ctypes early by @emeryberger in #907
• Removed dep on wheel by @emeryberger in #912
• Handle latest versions of IPython by @emeryberger in #916
• Fix module import issues for deeply nested modules (e.g., x.y.z). by @glebarez in #903
• Refactoring, more Pydantic by @emeryberger in #921
• fix_args_list_if_none by @yastcher in #923
• Fix for overwriting LD_PRELOAD if it contains libscalene.so and other values by @elesiuta in #925

New Contributors

• @glebarez made their first contribution in #903
• @yastcher made their first contribution in #923
• @elesiuta made their first contribution in #925

Full Changelog: v1.5.52...v1.5.53