roboflow-api-snippets VS budgetml

Compare roboflow-api-snippets vs budgetml and see what are their differences.

budgetml

Deploy a ML inference service on a budget in less than 10 lines of code. (by ebhy)
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roboflow-api-snippets budgetml
2 4
18 1,333
- 0.2%
3.4 0.0
4 months ago 3 months 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.

roboflow-api-snippets

Posts with mentions or reviews of roboflow-api-snippets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-22.

budgetml

Posts with mentions or reviews of budgetml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-31.

What are some alternatives?

When comparing roboflow-api-snippets and budgetml you can also consider the following projects:

roboflow-python - The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.

pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.

Milvus - A cloud-native vector database, storage for next generation AI applications

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

onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

ck - Collective Mind (CM) is a small, modular, cross-platform and decentralized workflow automation framework with a human-friendly interface and reusable automation recipes to make it easier to build, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data, software and hardware

fastapi-template - Completely Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API as an API framework.

experta - Expert Systems for Python

tritony - Tiny configuration for Triton Inference Server

FastAPI-template - Feature rich robust FastAPI template.

MLflow - Open source platform for the machine learning lifecycle