Home: http://www.hdfgroup.org/HDF5/
Package license: HDF5
Feedstock license: BSD 3-Clause
Summary: HDF5 is a data model, library, and file format for storing and managing data
| CircleCI |
|
||||||||
| Travis |
|
||||||||
| Appveyor |
|
||||||||
| Azure |
|
||||||||
| Linux_ppc64le |
|
| Name | Downloads | Version | Platforms |
|---|---|---|---|
 |
 |
 |
 |
Installing hdf5 from the cryoem channel can be achieved by adding cryoem to your channels with:
conda config --add channels cryoem
Once the cryoem channel has been enabled, hdf5 can be installed with:
conda install hdf5
It is possible to list all of the versions of hdf5 available on your platform with:
conda search hdf5 --channel cryoem
If you would like to improve the hdf5 recipe or build a new
package version, please fork this repository and submit a PR. Upon submission,
your changes will be run on the appropriate platforms to give the reviewer an
opportunity to confirm that the changes result in a successful build. Once
merged, the recipe will be re-built and uploaded automatically to the
cryoem channel, whereupon the built conda packages will be available for
everybody to install and use from the cryoem channel.
Note that all branches in the cryoem/hdf5-feedstock are
immediately built and any created packages are uploaded, so PRs should be based
on branches in forks and branches in the main repository should only be used to
build distinct package versions.
In order to produce a uniquely identifiable distribution:
- If the version of a package is not being increased, please add or increase
the
build/number. - If the version of a package is being increased, please remember to return
the
build/numberback to 0.