datascience VS Mage

Compare datascience vs Mage and see what are their differences.

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datascience Mage
4 77
4,071 7,050
- 3.5%
8.3 9.9
22 days ago 4 days ago
Python
Creative Commons Zero v1.0 Universal Apache License 2.0
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.

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.

Mage

Posts with mentions or reviews of Mage. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-22.

What are some alternatives?

When comparing datascience and Mage you can also consider the following projects:

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

dagster - An orchestration platform for the development, production, and observation of data assets.

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

vscode-dvc - Machine learning experiment tracking and data versioning with DVC extension for VS Code

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

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

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.

sqlmesh - Efficient data transformation and modeling framework that is backwards compatible with dbt.

mlreef - The collaboration workspace for Machine Learning

mito - The mitosheet package, trymito.io, and other public Mito code.

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

Data-Science-Roadmap - Data Science Roadmap from A to Z