Need advice about which tool to choose?Ask the StackShare community!
Add tool
Comet.ml vs Propel: What are the differences?
What is Comet.ml? Track, compare and collaborate on Machine Learning experiments. Comet.ml allows data science teams and individuals to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility.
What is Propel? Machine learning for JavaScript. Propel provides a GPU-backed numpy-like infrastructure for scientific computing in JavaScript.
Comet.ml and Propel can be categorized as "Machine Learning" tools.
Propel is an open source tool with 2.81K GitHub stars and 81 GitHub forks. Here's a link to Propel's open source repository on GitHub.
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn MorePros of Comet.ml
Pros of Propel
Pros of Comet.ml
- Best tool for comparing experiments3
Pros of Propel
Be the first to leave a pro
Sign up to add or upvote prosMake informed product decisions
- No public GitHub repository available -
What is Comet.ml?
Comet.ml allows data science teams and individuals to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility.
What is Propel?
Propel provides a GPU-backed numpy-like infrastructure for scientific computing in JavaScript.
Need advice about which tool to choose?Ask the StackShare community!
Jobs that mention Comet.ml and Propel as a desired skillset
What companies use Comet.ml?
What companies use Propel?
What companies use Comet.ml?
What companies use Propel?
No companies found
See which teams inside your own company are using Comet.ml or Propel.
Sign up for StackShare EnterpriseLearn MoreSign up to get full access to all the companiesMake informed product decisions
What tools integrate with Comet.ml?
What tools integrate with Propel?
What tools integrate with Comet.ml?
What tools integrate with Propel?
Sign up to get full access to all the tool integrationsMake informed product decisions
What are some alternatives to Comet.ml and Propel?
MLflow
MLflow is an open source platform for managing the end-to-end machine learning lifecycle.
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/