The amount and the diversity of Earth Observation data and the multiple ways to get it, make accessibility to the data quite difficult.
EODAG offers an Open-Source Python or Command Line Interface client that federates and unifies access to cross-providers Earth Observation data. It offers a solution that simplifies access to heterogeneous data from various providers with different APIs, through a unique interface based on STAC. The design and open-source approach of EODAG allow for a balanced eased extensibility toward other data sources and data types.

EODAG capabilities can be extended through the following related projects:
- EODAG-Labextension, a Jupyterlab extension allowing users to search and browse for remote sensed imagery directly from JupyterLab.
- EODAG-Cube for having direct access to data as Xarray datasets.
- STAC-FastAPI-EODAG, EODAG backend for stac-fastapi, which combines the capabilities of EODAG and STAC FastAPI to provide a powerful, unified API for accessing Earth observation data from various providers.

In this talk, we will present the main functionalities of EODAG and related projects. We will focus on updates since our previous FOSS4G workshop, particularly the use of STAC for API parameters and results properties. We will also describe the latest features and upcoming developments.