james-bowman / sparse
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Implementations of Sparse BLAS standard routines.
- Compatible with Gonum's APIs and interoperable with Gonum's dense matrix types.
- Matrix multiplication, addition and subtraction and vector dot products.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 8 months ago
- Stars
- 170
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Go
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 67% closed
- 3 still open
- Pull requests
- 23 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Go 99%
- Assembly 1%
Topics
- bit-vector
- blas
- coo
- csc
- csr
- dictionary-of-keys
- go
- golang
- gonum
- machine-learning
- matrices
- matrix
Project record
- JobOther AI tools
- StatusListed
- Commits271
- Forks24
- Watching7
- Stars in 28 days0
- CreatedMay 16, 2017
- First seen by usNov 7, 2026
- CheckedNov 8, 2026