hdf5 1.14.6+repack-ok1 source package in openKylin
Changelog
hdf5 (1.14.6+repack-ok1) huanghe; urgency=medium * Build for openKylin. -- openKylinBot <email address hidden> Mon, 01 Jun 2026 19:58:27 +0800
hdf5 (1.14.6+repack-ok1) huanghe; urgency=medium * Build for openKylin. -- openKylinBot <email address hidden> Mon, 01 Jun 2026 19:58:27 +0800
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Huanghe V3.0 | proposed | main | science |
| File | Size | SHA-256 Checksum |
|---|---|---|
| hdf5_1.14.6+repack.orig.tar.gz | 37.1 MiB | c18bc47d07f76a5c2cfb70773bfe4152857e48ca4c96e7aef2684c96fa0e6a7c |
| hdf5_1.14.6+repack-ok1.debian.tar.xz | 143.6 KiB | ffdd0f90b6e929ce5451de479258a94cbc1198f3b6979ffee7f150f020859c5d |
| hdf5_1.14.6+repack-ok1.dsc | 3.9 KiB | 1cf16bb96e7adc604b5e6ae1ad135c42beb2f64ccd19a08c46c42968e32c0e25 |
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains helper tools for HDF5.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains runtime tools for HDF5.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C runtime files for serial platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C++ runtime files for serial platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains development files for serial platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains documentation for HDF5.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the Fortran runtime files for serial platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C API runtime files for serial platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C++ API runtime files for serial
platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level Fortran API runtime files for serial
platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the java wrapper library for HDF5.
This package is only useful with libhdf5-java.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package depends on the default MPI version of HDF5 for each platform.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C runtime files for use with MPICH2.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C++ runtime files for mpich platforms.
.
Warning: C++ with parallel HDF5 is not supported upstream. Use this
feature at your own risks.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains development files for use with MPICH2. Warning:
the C++ interface is not provided for this version.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the Fortran runtime files for mpich platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C API runtime files for mpich platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C++ API runtime files for mpich
platforms.
.
Warning: C++ with parallel HDF5 is not supported upstream. Use this
feature at your own risks.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level Fortran API runtime files for mpich
platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C runtime files for use with OpenMPI.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C++ runtime files for openmpi platforms.
.
Warning: C++ with parallel HDF5 is not supported upstream. Use this
feature at your own risks.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains development files for use with OpenMPI.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the Fortran runtime files for openmpi platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C API runtime files for openmpi platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C++ API runtime files for openmpi
platforms.
.
Warning: C++ with parallel HDF5 is not supported upstream. Use this
feature at your own risks.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level Fortran API runtime files for openmpi
platforms.