neptune-contrib VS Sacred

Compare neptune-contrib vs Sacred and see what are their differences.

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neptune-contrib Sacred
0 5
26 3,901
- 0.7%
1.0 5.2
12 months ago 18 days ago
Python Python
MIT License MIT License
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.

neptune-contrib

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

We haven't tracked posts mentioning neptune-contrib yet.
Tracking mentions began in Dec 2020.

Sacred

Posts with mentions or reviews of Sacred. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-25.

What are some alternatives?

When comparing neptune-contrib and Sacred you can also consider the following projects:

MLflow - Open source platform for the machine learning lifecycle

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

tensorflow - An Open Source Machine Learning Framework for Everyone

Keras - Deep Learning for humans

scikit-learn - scikit-learn: machine learning in Python

Clairvoyant - Software designed to identify and monitor social/historical cues for short term stock movement

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

gym - A toolkit for developing and comparing reinforcement learning algorithms.