PyRank
intel-analytics

bigdl-chronos

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
PyPI GitHub
More links
Download Stats
Monthly downloads
36.0K
Weekly downloads
8.5K
GitHub stars *
8.8K

Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.

Package Information

Latest Version
2.4.0
Requires Python
Not specified
Licence
Apache License, Version 2.0
Last Release
2 years ago
Author
BigDL Authors
First Release
October 14, 2021
Total Releases
826
Python Versions
3 3.7
No reported malware or high/critical advisories · Details

The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
10
Popularity
85
Adoption
65
Community
80
Provenance
0
How the maintenance status was determined
Last commit
260 days ago
Monthly downloads
35,962
Active
Activity within 30 days
Stable
Activity within 31-180 days
Minimal
Activity within 181-365 days, or no activity data
At Risk
No activity for > 365 days, but > 10,000 monthly downloads
• Archived
Repository flagged as archived on GitHub
Repository is archived on GitHub — no further commits expected.
How the popularity category was determined
Monthly downloads
35,962
Stars
8,846
Stars per 1k downloads
245.98
Industry Standard
> 10,000,000 monthly downloads
Hidden Gem
< 0.5 stars per 1k downloads and > 100,000 monthly downloads
• Community Favorite
> 5 stars per 1k downloads
Rising Star
Balanced ratio of stars to downloads
Unknown
Fewer than 1,000 monthly downloads, or no star data
How download momentum is calculated
Week daily avg
1,208
Month daily avg
1,199
Momentum
+0.8%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
More insights and metrics
Python version support tiers
requires_python
Not specified
Cutting Edge
Minimum supported version is 3.14 or newer
Modern
Minimum supported version is 3.11 to 3.13
Legacy
Supports 3.10 or older (or Python 2)
• Unknown
No requires_python specified or unparseable
Package does not declare a minimum Python version.
License categories
License
Apache License, Version 2.0
• Permissive
MIT, Apache, BSD, ISC, Unlicense, CC0, etc.
Copyleft
GPL, LGPL, AGPL, MPL, EPL, etc.
Proprietary
Commercial, all rights reserved, custom EULAs
Unknown
No license specified, or none of the above match
How the release cadence was determined
Last release
1071 days ago
Total releases
826
Releases/year
164.9
Rapid
Last release within 365 days and > 12 releases/year
Regular
Last release within 365 days
Slow
Last release 366-730 days ago
• Stalled
Last release > 730 days ago, or no releases
Unknown
No usable release date available
How contributor risk was determined
Contributors
112
Monthly downloads
35,962
High Load
≤ 2 contributors and ≥ 50,000 monthly downloads
Moderate Load
< 10 contributors and ≥ 500,000 monthly downloads
Low Load
< 25 contributors and ≥ 5,000,000 monthly downloads, or sole maintainer with ≥ 10,000 monthly downloads
• Balanced
Enough contributors for the package's popularity
Unknown
No contributor data available
Engagement
75
 
Issue Burden
137.2
per 1k stars
Discussions
0.2
per 1k stars
Fork Ratio
7.8%
contrib / forks
Stale Release
810d
 
PR Velocity
Active
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 2

Python Versions

3.7
100.0% 2

Top Countries

1. US US
18
2. CN CN
11
3. DE DE
1
4. GB GB
1

Weekly Downloads

GitHub Stars *

Dependencies

3
50 optional dependencies
  • aiohttp==3.8.1[all]
    extra == "all"
  • aiohttp==3.8.1[distributed]
    platform_system != "Windows" and extra == "distributed"
  • aioredis==1.3.1[distributed]
    platform_system != "Windows" and extra == "distributed"
  • aioredis==1.3.1[all]
    extra == "all"
  • async-timeout==4.0.1[all]
    extra == "all"
  • async-timeout==4.0.1[distributed]
    platform_system != "Windows" and extra == "distributed"
  • bigdl-nano==2.4.0[tensorflow]
    extra == "tensorflow"
  • bigdl-nano==2.4.0[inference]
    extra == "inference"
  • bigdl-nano==2.4.0[pytorch]
    extra == "pytorch"
  • bigdl-nano==2.4.0[all]
    extra == "all"
  • bigdl-orca==2.4.0[distributed]
    platform_system != "Windows" and extra == "distributed"
  • bigdl-orca==2.4.0[all]
    platform_system != "Windows" and extra == "all"
  • configspace<=0.5.0[all]
    extra == "all"
  • configspace<=0.5.0[automl]
    extra == "automl"
  • grpcio==1.53.0[distributed]
    platform_system != "Windows" and extra == "distributed"
  • grpcio==1.53.0[all]
    extra == "all"
  • hiredis==2.0.0[all]
    extra == "all"
  • hiredis==2.0.0[distributed]
    platform_system != "Windows" and extra == "distributed"
  • holidays==0.24[all]
    extra == "all"
  • inotify-simple[all]
    extra == "all"
  • intel-tensorflow==2.7.0[tensorflow]
    ((platform_machine == "x86_64" or platform_machine == "AMD64") and platform_system != "Darwin") and extra == "tensorflow"
  • intel-tensorflow==2.7.0[all]
    ((platform_machine == "x86_64" or platform_machine == "AMD64") and platform_system != "Darwin") and extra == "all"
  • matplotlib[all]
    extra == "all"
  • optuna<=2.10.1[all]
    extra == "all"
  • optuna<=2.10.1[automl]
    extra == "automl"
  • pmdarima==1.8.5[all]
    extra == "all"
  • prometheus-client==0.11.0[distributed]
    platform_system != "Windows" and extra == "distributed"
  • prometheus-client==0.11.0[all]
    extra == "all"
  • prophet==1.1.0[all]
    extra == "all"
  • protobuf==3.19.5[all]
    extra == "all"
  • protobuf==3.19.5[distributed]
    platform_system != "Windows" and extra == "distributed"
  • psutil==5.9.5[distributed]
    platform_system != "Windows" and extra == "distributed"
  • psutil==5.9.5[all]
    extra == "all"
  • pyarrow[distributed]
    platform_system != "Windows" and extra == "distributed"
  • pyarrow==6.0.1[all]
    extra == "all"
  • ray==1.9.2[distributed]
    platform_system != "Windows" and extra == "distributed"
  • ray==1.9.2[all]
    extra == "all"
  • scikit-learn[distributed]
    platform_system != "Windows" and extra == "distributed"
  • scikit-learn[all]
    extra == "all"
  • setproctitle[all]
    extra == "all"
  • setproctitle[distributed]
    platform_system != "Windows" and extra == "distributed"
  • sqlalchemy<=1.4.27[all]
    extra == "all"
  • sqlalchemy<=1.4.27[automl]
    extra == "automl"
  • tensorboard[all]
    extra == "all"
  • tensorboard[distributed]
    platform_system != "Windows" and extra == "distributed"
  • tensorflow==2.7.0[all]
    (platform_machine == "x86_64" and platform_system == "Darwin") and extra == "all"
  • tensorflow==2.7.0[tensorflow]
    (platform_machine == "x86_64" and platform_system == "Darwin") and extra == "tensorflow"
  • tf2onnx==1.13.0[all]
    (platform_machine == "x86_64" or platform_machine == "AMD64") and extra == "all"
  • tf2onnx==1.13.0[tensorflow]
    (platform_machine == "x86_64" or platform_machine == "AMD64") and extra == "tensorflow"
  • tsfresh==0.17.0[all]
    extra == "all"

Used By

1

Repository details

Forks
1.4K
Issues
1.2K
Last Commit
8 months ago
Contributors
112
Open PRs
271
Archived
Yes
GitHub Topics

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Sources and methodology