parler-py-api VS rwa

Compare parler-py-api vs rwa and see what are their differences.

parler-py-api

UNOFFICIAL Python API to interface with Parler.com (by KonradIT)
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parler-py-api rwa
- -
50 601
- -
1.4 0.0
almost 3 years ago about 4 years ago
Python Python
- GNU General Public License v3.0 or later
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.

parler-py-api

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

We haven't tracked posts mentioning parler-py-api yet.
Tracking mentions began in Dec 2020.

rwa

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

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

What are some alternatives?

When comparing parler-py-api and rwa you can also consider the following projects:

acme - A library of reinforcement learning components and agents

nptyping - 💡 Type hints for Numpy and Pandas

pyc2pa - Python implementation of C2PA: Coalition for Content Provenance and Authenticity.

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

lingvo - Lingvo

tensorflow - An Open Source Machine Learning Framework for Everyone

mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

Keras - Deep Learning for humans

qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

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

TFLearn - Deep learning library featuring a higher-level API for TensorFlow.

tfgraphviz - A visualization tool to show a TensorFlow's graph like TensorBoard