From Rasterio's new discussion group/email list, here's the 1.0.0 announcement.
We, the authors of Rasterio, are pleased to announce the release of Rasterio 1.0.0.
What is the significance of 1.0.0? Stability. After more than a year of
changes, there is at last a stable base for applications. You can pin
rasterio ~= 1.0 in your project’s requirements and enjoy nothing but bug
fixes for as long as the project supplies them.
Upgrading and compatibility
Rasterio is compatible with GDAL versions 1.11-2.3 and Python versions 2.7, and 3.4-3.7.
We have deprecated a number of features since 0.36. Features have been removed,
after some warning, at 1.0a1, 1.0a10, 1.0b1, and 1.0rc2. We recommend migrating
stepwise through those tags to get from 0.36 to 1.0.0 if you're feeling extra
Rasterio 1.0.0 is the work of 68 authors. The individuals are listed in
This number does not include people who have created and commented on issues in
the project’s issue tracker, but their contributions are also very important.
We’ve received some of the best bug reports ever written.
Rasterio benefits from a userbase in many different areas of work and study.
Advocates across companies, classrooms, and projects have helped make Rasterio
what it is. We particularly thank people who help distribute it, and people who
help teach others to use it. Among those are: Christoph Gohlke, the conda-forge
and Debian GIS teams, Howard Butler, Sara Safavi, Dana Bauer, Leah Wasser,
Chris Holdgraf, and everyone else who has taught Rasterio in a workshop or
course, or presented Rasterio to a conference or meetup audience.
Rasterio has benefited from helpful folks on the GIS StackExchange. Luke
Pinner, Loïc Dutrieux, Martin Laloux, and Kersten Clauss are foremost among
Everything we know about building and distributing binary wheels comes from the
SciPy community. Thank you, Matthew Brett, Nathaniel Smith, et al., for writing
the delocate and auditwheel tools and supporting them.
Even Rouault, GDAL’s maintainer, has been our patient guru and guide during
many difficult passages.
Early adoption by engineering teams in the satellite imagery business has also
been key to Rasterio’s success. The project is indebted to developers who tried
it and managers who supported them.
Thank you all!