ArrayInterfaceCore
Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
Ecosystem
juliahub.com
juliahub.com
Latest Release
about 3 years ago
0.1.29
about 3 years ago
Versions
30
30
Downloads
937 total
937 total
Dependent Packages
38
38
Top 7.8% on juliahub.com
5 versions - Latest release: almost 3 years ago - 4 dependent packages - 442 downloads total - 137 stars on GitHub
ArrayInterfaceStaticArraysCore 0.1.4
Designs for new Base array interface primitives, used widely through scientific machine learning ...5 versions - Latest release: almost 3 years ago - 4 dependent packages - 442 downloads total - 137 stars on GitHub
Top 7.1% on juliahub.com
6 versions - Latest release: about 3 years ago - 6 dependent packages - 254 downloads total - 137 stars on GitHub
ArrayInterfaceStaticArrays 0.1.5
Designs for new Base array interface primitives, used widely through scientific machine learning ...6 versions - Latest release: about 3 years ago - 6 dependent packages - 254 downloads total - 137 stars on GitHub
Top 9.2% on juliahub.com
3 versions - Latest release: over 3 years ago - 2 dependent packages - 137 stars on GitHub
ArrayInterfaceBandedMatrices 0.1.2
Designs for new Base array interface primitives, used widely through scientific machine learning ...3 versions - Latest release: over 3 years ago - 2 dependent packages - 137 stars on GitHub
Top 7.8% on juliahub.com
4 versions - Latest release: over 3 years ago - 4 dependent packages - 380 downloads total - 137 stars on GitHub
ArrayInterfaceGPUArrays 0.2.2
Designs for new Base array interface primitives, used widely through scientific machine learning ...4 versions - Latest release: over 3 years ago - 4 dependent packages - 380 downloads total - 137 stars on GitHub
ArrayInterfaceBlockBandedMatrices 0.1.2
Designs for new Base array interface primitives, used widely through scientific machine learning ...3 versions - Latest release: over 3 years ago - 137 stars on GitHub
Top 6.7% on juliahub.com
40 versions - Latest release: over 3 years ago - 20 dependent packages - 0 downloads total - 803 stars on GitHub
GalacticOptim 3.4.0 💰
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Qu...40 versions - Latest release: over 3 years ago - 20 dependent packages - 0 downloads total - 803 stars on GitHub
Top 4.4% on juliahub.com
166 versions - Latest release: over 3 years ago - 13 dependent packages - 2 dependent repositories - 369 stars on GitHub
DiffEqSensitivity 6.79.0 💰
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine lear...166 versions - Latest release: over 3 years ago - 13 dependent packages - 2 dependent repositories - 369 stars on GitHub
Top 6.4% on juliahub.com
76 versions - Latest release: over 3 years ago - 10 dependent packages - 2 dependent repositories - 145 stars on GitHub
DiffEqJump 8.6.3 💰
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant an...76 versions - Latest release: over 3 years ago - 10 dependent packages - 2 dependent repositories - 145 stars on GitHub
Top 9.2% on juliahub.com
2 versions - Latest release: about 7 years ago - 2 dependent packages - 28 downloads total - 137 stars on GitHub
ArrayInterfaceTracker 0.1.1
Designs for new Base array interface primitives, used widely through scientific machine learning ...2 versions - Latest release: about 7 years ago - 2 dependent packages - 28 downloads total - 137 stars on GitHub
Past Dependents
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Links
| Registry | juliahub.com |
| Source | Repository |
| Homepage | Homepage |
| Docs | Documentation |
| JSON API | View JSON |
| CodeMeta | codemeta.json |
Package Details
| PURL |
pkg:julia/ArrayInterfaceCore
spec |
| License | MIT |
| First Release | about 7 years ago |
| Last Synced | 2 days ago |
Repository
| Stars | 137 on GitHub |
| Forks | 38 on GitHub |
| Commits | 886 |
| Committers | 47 |
| Avg per Author | 18.851 |
| DDS | 0.669 |
Rankings on juliahub.com
Overall
Top 5.5%
Dependent packages
Top 1.8%
Forks
Top 4.6%