Quilt

Fixes a bug in download that prevented retrying failed downloads.

&35;186 introduced an undeclared dependency on Pandas >= 0.21.0 (by catching ParserError during CSV parsing). This release removes that dependency and resolves 291.

PR https://github.com/quiltdata/quilt/pull/290

Quilt Catalog
Source for the Quilt data catalog is now included in this repository.

MySQL->Postgres
Ported the Quilt registry from MySQL to Postgres

Docker Compose
Improvements to the docker configuration that allows running the registry, catalog, database and authentication service from Docker compose.

Parallel Download
Data fragments can now be downloaded in parallel leading to much faster package installs for large packages.

Release Highlights

Quilt packages live in a centralized location on your machine
Quilt data packages are now available wherever you run Python. We recommend that users **quilt push all local packages to the registry before upgrading**. Further details on migration are [here](https://docs.quiltdata.com/troubleshooting.html).

Faster builds with build cache
Quilt now caches build intermediates. So if you wish to update the README of a multi-gigabyte package, you can rebuild the entire package in one second. 

Group-level build parameters
You can now specify build parameters (like transform) for all children of a group in one shot. The updated syntax and docs are [here](https://docs.quiltdata.com/buildyml.html).

quilt.yml is like requirments.txt but for data
You can now express dependencies on multiple packages in a single file. Docs [here](https://docs.quiltdata.com/cli.html#installing-via-requirements-file).

Experimental: build a package from a GitHub repo
Quilt build now accepts GitHub URLs. If you use data stored on GitHub you can turn it into a Quilt package with quilt build.

Version 2.7.1 includes several minor bug fixes and one new feature, checks. Checks allow a user to specify data integrity checks that are enforced during quilt build.