The most active TensorFlow / ML repositories on GitHub, August 2026

As of August 2026, the most active TensorFlow / ML repository on GitHub is tensorflow/tensorflow (196.9k stars). The top 10 TensorFlow / ML repositories tracked by StarHunt hold 642.9k combined stars, averaging 64.3k each, with 10 of 10 updated in the last week. Among the 243 of their contributors StarHunt could place in one of six tracked countries, 62% are in the United States.

What are the most active TensorFlow / ML repositories in August 2026?

Based on GitHub activity data updated weekly, here are the top TensorFlow / ML repositories for August 2026.

#	Repository	Stars	Last push
1	tensorflow/tensorflow An Open Source Machine Learning Framework for Everyone deep-learning deep-neural-networks	⭐ 196,944 (+51)	today
2	apache/superset Apache Superset is a Data Visualization and Data Exploration Platform analytics apache	⭐ 74,184 (+10)	today
3	scikit-learn/scikit-learn scikit-learn: machine learning in Python data-analysis data-science	⭐ 66,959 (+29)	yesterday
4	keras-team/keras Deep Learning for humans data-science deep-learning	⭐ 64,221	yesterday
5	pandas-dev/pandas Flexible and powerful data analysis / manipulation library for Python, providing labeled data struct alignment data-analysis	⭐ 49,501 (+18)	today

Which TensorFlow / ML repositories grew the most this month?

Looking at month-over-month changes in the TensorFlow / ML ecosystem:

• tensorflow/tensorflow: +51 stars
• scikit-learn/scikit-learn: +29 stars
• mlflow/mlflow: +23 stars
• microsoft/onnxruntime: +20 stars
• pandas-dev/pandas: +18 stars

The biggest mover this month was tensorflow/tensorflow, which gained 51 stars.

Which TensorFlow / ML repositories are growing fastest?

These TensorFlow / ML repositories gained the most stars over the past month:

• mlflow/mlflow +23 stars this month (27.4k total)
• microsoft/onnxruntime +20 stars this month (21.3k total)
• PrefectHQ/prefect +15 stars this month (23.6k total)
• ray-project/ray +14 stars this month (43.5k total)
• apache/airflow +13 stars this month (46.4k total)

How active is the TensorFlow / ML ecosystem this month?

Across the top 10 TensorFlow / ML repositories tracked by StarHunt:

• Combined stars: 642,924
• Average stars per repository: 64,292
• Repositories with a commit in the last 7 days: 10 out of 10

Want to find TensorFlow / ML developers who contribute to these repositories? StarHunt sources engineers directly from GitHub.

Who builds the top TensorFlow / ML repositories?

StarHunt has indexed 540 contributors across these TensorFlow / ML repositories. Among the 243 located in one of the six tracked countries (United States, United Kingdom, France, Germany, Spain, Canada), the split is:

• United States: 62% (151)
• Germany: 12% (28)
• France: 9% (23)
• United Kingdom: 8% (20)
• Canada: 7% (17)
• Spain: 2% (4)

37% have a public email on their GitHub profile.

A few standouts across individual repositories:

• tensorflow/tensorflow — 75% of tensorflow/tensorflow's StarHunt-indexed contributors located in one of the six tracked countries are in the United States. 22% of them are in San Francisco alone.
• scikit-learn/scikit-learn — 18% of them are in Paris alone.
• keras-team/keras — 67% of keras-team/keras's StarHunt-indexed contributors located in one of the six tracked countries are in the United States.
• pandas-dev/pandas — 60% of pandas-dev/pandas's StarHunt-indexed contributors located in one of the six tracked countries are in the United States.
• ray-project/ray — 87% of ray-project/ray's StarHunt-indexed contributors located in one of the six tracked countries are in the United States. 48% of them are in San Francisco alone.

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