awesome-scientific-python VS datascience

Compare awesome-scientific-python vs datascience and see what are their differences.

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awesome-scientific-python datascience
1 4
232 4,071
- -
10.0 8.3
over 1 year ago 19 days ago
Python
- Creative Commons Zero v1.0 Universal
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

awesome-scientific-python

Posts with mentions or reviews of awesome-scientific-python. We have used some of these posts to build our list of alternatives and similar projects.

datascience

Posts with mentions or reviews of datascience. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-01.

What are some alternatives?

When comparing awesome-scientific-python and datascience you can also consider the following projects:

awesome-italy-events - Curated list of tech related events in Italy

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]

mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.

PathDict - Easily query and modify Python dicts!

machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.

awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.

Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

mlreef - The collaboration workspace for Machine Learning

darts - A python library for user-friendly forecasting and anomaly detection on time series.

awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-ml-for-cybersecurity - :octocat: Machine Learning for Cyber Security