neptune-contrib VS lightning-hydra-template

Compare neptune-contrib vs lightning-hydra-template and see what are their differences.

Our great sponsors
  • SonarQube - Static code analysis for 29 languages.
  • Scout APM - Truly a developer’s best friend
  • InfluxDB - Build time-series-based applications quickly and at scale.
  • - Download’s Tech Salary Report
neptune-contrib lightning-hydra-template
0 6
26 1,795
- -
1.0 9.1
12 months ago 3 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.


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.


Posts with mentions or reviews of lightning-hydra-template. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-20.

What are some alternatives?

When comparing neptune-contrib and lightning-hydra-template you can also consider the following projects:

lightning-hydra-template - Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.

pytorch_tempest - My repo for training neural nets using pytorch-lightning and hydra

lightning-transformers - Flexible components pairing 🤗 Transformers with Pytorch Lightning

traingenerator - 🧙 A web app to generate template code for machine learning

tensorflow - An Open Source Machine Learning Framework for Everyone

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

neptune-client - :ledger: Experiment tracking tool and model registry

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

Keras - Deep Learning for humans

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

MLflow - Open source platform for the machine learning lifecycle

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.