combust/mleap
MLeap: Deploy ML Pipelines to Production
1,536 stars and 2,263,982 monthly downloads. Actively maintained with 11 commits in the last 30 days. Available on PyPI.
Stars
1,536
Forks
316
Language
Scala
License
Apache-2.0
Category
Last pushed
Mar 10, 2026
Monthly downloads
2,263,982
Commits (30d)
11
Dependencies
5
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/combust/mleap"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
ml-tooling/opyrator
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
SocAIty/APIPod
Create web-APIs for long-running tasks. Job based task handling. Get the result with the job id...
ebhy/budgetml
Deploy a ML inference service on a budget in less than 10 lines of code.
jpmorganchase/inference-server
Deploy your AI/ML model to Amazon SageMaker for Real-Time Inference and Batch Transform using...
tanujjain/deploy-ml-model
Deploying a simple machine learning model to an AWS ec2 instance using flask and docker.