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Awesome Python Data Science
Probably the best curated list of data science software in Python.
krzjoa/awesome-python-data-science
#awesome
#awesome-list
#awesome-python
#data-analysis
#data-science
#data-visualization
#deep-learning
#machine-learning
#python
#scikit-learn
#statistics
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facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
- Updated
- 2026-05-08
- Lists
- 2 list mentions
- First commit
- 2017-02-22
- License
- MIT
- Issues
- 464 open
20,273
stars
- Forks
- 4,632
- Commits
- 850 commits
- Star growth, last 7 days
- No 7-day history
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- No 7-day history
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
- Updated
- 2026-07-03
- Lists
- 4 list mentions
- First commit
- 2006-03-03
- License
- BSD-3-Clause
- Issues
- 2,983 open
11,494
stars
- Forks
- 3,469
- Commits
- 16,182 commits
- Star growth, last 7 days
- No 7-day history
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- No 7-day history
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
- Updated
- 2026-07-14
- Lists
- 2 list mentions
- First commit
- 2019-05-08
- License
- Apache-2.0
- Issues
- 404 open
10,532
stars
- Forks
- 1,170
- Commits
- 2,897 commits
- Star growth, last 7 days
- 0 0.0%
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- 0 0.0%
sktime/sktime
A unified framework for machine learning with time series
- Updated
- 2026-07-17
- Lists
- 3 list mentions
- First commit
- 2018-11-18
- License
- BSD-3-Clause
- Issues
- 2,366 open
9,861
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- Forks
- 2,221
- Commits
- 6,152 commits
- Star growth, last 7 days
- +20 +0.2%
- Commit velocity, last 7 days
- +28 +0.5%
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
- Updated
- 2026-07-15
- Lists
- 3 list mentions
- First commit
- 2018-09-13
- License
- Apache-2.0
- Issues
- 219 open
9,467
stars
- Forks
- 1,017
- Commits
- 1,539 commits
- Star growth, last 7 days
- 0 0.0%
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Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
GitHub topics
- Updated
- 2026-07-14
- Lists
- 2 list mentions
- First commit
- 2021-11-17
- License
- Apache-2.0
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- 138 open
4,840
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- Forks
- 373
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- 1,448 commits
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- 0 0.0%
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- 0 0.0%
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
GitHub topics
- Updated
- 2026-07-07
- Lists
- 1 list mention
- First commit
- 2021-04-26
- License
- Apache-2.0
- Issues
- 22 open
4,188
stars
- Forks
- 496
- Commits
- 1,378 commits
- Star growth, last 7 days
- No 7-day history
- Commit velocity, last 7 days
- No 7-day history
skforecast/skforecast
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
AI dev
- Updated
- 2026-07-06
- Lists
- 2 list mentions
- First commit
- 2021-02-13
- License
- BSD-3-Clause
- Issues
- 23 open
1,507
stars
- Forks
- 193
- Commits
- 6,288 commits
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- No 7-day history
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- No 7-day history
Nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting.
GitHub topics
- Updated
- 2026-07-14
- Lists
- 2 list mentions
- First commit
- 2021-04-26
- License
- Apache-2.0
- Issues
- 4 open
1,251
stars
- Forks
- 128
- Commits
- 468 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%