wave VS clearml

Compare wave vs clearml 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)
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wave clearml
21 20
3,852 5,217
1.0% 2.5%
9.2 8.1
6 days ago 3 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.

wave

Posts with mentions or reviews of wave. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-01.

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.

What are some alternatives?

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

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

MLflow - Open source platform for the machine learning lifecycle

reactpy - It's React, but in Python

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!

gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

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

nicegui - Create web-based user interfaces with Python. The nice way.

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

dephell - :package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.

pglet - Pglet - build internal web apps quickly in the language you already know!

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