clearml VS cascade

Compare clearml vs cascade and see what are their differences.

clearml

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution (by allegroai)
Version control experiment-manager Version Control Experiment Deeplearning Deep Learning Machine Learning Machinelearning AI Trains Trainsai Clearml K8s DevOps Mlops
Source Code
clear.ml
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cascade

Lightweight and modular MLOps library targeted at small teams or individuals (by Oxid15)
Machine Learning ML Mlops feature-selection model-selection model-lifecycle Deep Learning
Source Code
oxid15.github.io
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clearml cascade
20 9
5,243 16
3.0% -
8.1 9.3
7 days ago 18 days ago
Python Python
Apache License 2.0 Apache License 2.0
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.

clearml

Posts with mentions or reviews of clearml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-12.

cascade

Posts with mentions or reviews of cascade. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-12.

What are some alternatives?

When comparing clearml and cascade you can also consider the following projects:

MLflow - Open source platform for the machine learning lifecycle

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

NVTabular - NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

powershap - A power-full Shapley feature selection method.

kedro-great - The easiest way to integrate Kedro and Great Expectations

zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

streamlit - Streamlit — A faster way to build and share data apps.

ds2 - Easiest way to use AI models without coding (Web UI & API support)

ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

FeatureHub - The most comprehensive library of AI/ML features across multiple domains. Our goal is to create a dataset that serves as a valuable resource for researchers and data scientists worldwide

clearml vs MLflow cascade vs deeplake clearml vs BentoML cascade vs NVTabular clearml vs metaflow cascade vs powershap clearml vs kedro-great cascade vs zenml clearml vs streamlit cascade vs ds2 clearml vs ploomber cascade vs FeatureHub