A curated list of development and deployment tools for Computer Vision projects

Data serialization languages (JSON, YAML, XML)

Ways to save/load data to/from files (CSV, JSON, H5Py, Pickle, NumPy)

Python environment / package managers (pip, pipenv, pypoetry, conda)

Container management

IDE and extensions

Cloud computing service providers

NoSQL databases

SQL databases

In-memory database

Distributed streaming platform

API development tools

Deep learning frameworks

ML management and experimentation (MLflow, Airflow, Wandb, neptune.ai, DVC)

Data augmentation frameworks for computer vision (albumentations, imgaug, augmentor)

Important libraries for computer vision (NumPy, OpenCV, PIL, Matplotlib, scikit-learn, SciPy, Pandas)