We present here a Community Inversion Framework (CIF) to help rationalize development efforts and leverage the strengths of individual inversion systems into a comprehensive framework. The CIF is primarily a programming protocol to allow various inversion bricks to be exchanged among researchers. In practice, the ensemble of bricks makes a flexible, transparent and open-source python-based tool to estimate the fluxes of various GHGs both at global and regional scales. It will allow running different atmospheric transport models, different observation streams and different data assimilation approaches. This adaptability will allow a comprehensively assessment of uncertainty in a fully consistent framework. The present object contains all codes and documentation pages included in the Community Inversion Framework: pycif: the Python interface to the CIF model_sources: Fortran sources of main models in the CIF tests: pytest configuration bin: example of bash scripts to run the CIF docs: ReStructured Text documentation sources and HTML compiled pages (also published here)