Sacred VS Clairvoyant

Compare Sacred vs Clairvoyant and see what are their differences.

Sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA. (by IDSIA)

Clairvoyant

Software designed to identify and monitor social/historical cues for short term stock movement (by anfederico)
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Sacred Clairvoyant
4 0
3,695 2,248
0.8% -
4.6 1.1
about 2 months ago 7 months 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.

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 2021-09-26.

Clairvoyant

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

We haven't tracked posts mentioning Clairvoyant yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Sacred and Clairvoyant you can also consider the following projects:

MLflow - Open source platform for the machine learning lifecycle

pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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

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.