
EasyML
by ICT-BDA (organization)
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks. (description from the project’s GitHub page)
Repository facts
- Stars
- 1,979
- Forks
- 432
- Open issues and pull requests
- 46
- Primary language
- Java
- License
- Apache License 2.0 (Apache-2.0)
- Owner
- ICT-BDA · Organization
- Created
- Apr 7, 2017
- Last push
- Dec 18, 2023
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 591: Data-Centric-AI-Community/fg-data-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
13,727 starsPythonMITLast push Sep 11, 2026
Rank 6,523: mosecorg/mosec
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
902 starsPythonApache-2.0Last push Oct 12, 2026
Rank 1,190: Angel-ML/angel
A Flexible and Powerful Parameter Server for large-scale machine learning
6,795 starsJavaOther licenseLast push Oct 13, 2026
Rank 1,255: haifengl/smile
Statistical Machine Intelligence & Learning Engine
6,422 starsJavaOther licenseLast push Oct 18, 2026
Rank 1,554: grobidOrg/grobid
A machine learning software for extracting information from scholarly documents
5,184 starsJavaApache-2.0Last push Oct 18, 2026