JOSS: https://github.com/salbalkus/CausalTables.jl
Score: 7.278628942320682
Last synced: about 7 hours ago
JSON representation
Repository metadata:
A new type of Table to store and simulate data for causal inference in Julia.
- Host: GitHub
- URL: https://github.com/salbalkus/CausalTables.jl
- Owner: salbalkus
- License: mit
- Created: 2023-12-30T16:46:26.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2026-03-03T22:40:44.000Z (6 months ago)
- Last Synced: 2026-08-14T23:38:14.910Z (7 days ago)
- Language: Julia
- Homepage: https://salbalkus.github.io/CausalTables.jl/
- Size: 1.55 MB
- Stars: 18
- Watchers: 3
- Forks: 2
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff
Owner metadata:
- Name: Salvador Balkus
- Login: salbalkus
- Email:
- Kind: user
- Description: PhD student in Biostatistics at the Harvard T.H. Chan School of Public Health. Former @UMDBigDataClub president.
- Website: https://salbalkus.github.io/
- Location: Boston, MA
- Twitter:
- Company: Harvard University
- Icon url: https://avatars.githubusercontent.com/u/45985925?u=ba3e032ae6880db5556cf3bf677a3ca17727b6f4&v=4
- Repositories: 4
- Last Synced at: 2023-05-14T18:20:12.249Z
- Profile URL: https://github.com/salbalkus
GitHub Events
Total
- Create event: 25
- Delete event: 11
- Fork event: 1
- Issue comment event: 56
- Issues event: 15
- Pull request event: 26
- Push event: 192
- Release event: 13
- Watch event: 13
- Total: 352
Last Year
- Push event: 2
- Total: 2
Committers metadata
Last synced: 2 days ago
Total Commits: 367
Total Committers: 3
Avg Commits per committer: 122.333
Development Distribution Score (DDS): 0.03
Commits in past year: 1
Committers in past year: 1
Avg Commits per committer in past year: 1.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Salvador Balkus | s****s@g****m | 356 |
| CompatHelper Julia | c****y@j****g | 8 |
| Nima Hejazi | n****h@n****g | 3 |
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 18
Total pull requests: 61
Average time to close issues: 3 months
Average time to close pull requests: about 1 month
Total issue authors: 3
Total pull request authors: 2
Average comments per issue: 2.33
Average comments per pull request: 0.07
Merged pull request: 49
Bot issues: 0
Bot pull requests: 26
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- salbalkus (16)
- vanAmsterdam (1)
- JuliaTagBot (1)
Top Pull Request Authors
- salbalkus (35)
- github-actions[bot] (26)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- julia: 21 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 16
juliahub.com: CausalTables
A new type of Table to store and simulate data for causal inference in Julia.
- Homepage: https://salbalkus.github.io/CausalTables.jl/
- Documentation: https://docs.juliahub.com/General/CausalTables/stable/
- Licenses: MIT
- Latest release: 1.3.4 (published about 1 year ago)
- Last Synced: 2026-08-14T10:36:41.454Z (8 days ago)
- Versions: 16
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 21 Last month
-
Rankings:
- Dependent repos count: 3.227%
- Downloads: 3.317%
- Average: 7.617%
- Dependent packages count: 16.308%
Dependencies
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- julia-actions/setup-julia v1 composite
- JuliaRegistries/TagBot v1 composite
- actions/checkout v4 composite
- julia-actions/setup-julia v1 composite
- actions/checkout v4 composite
- actions/upload-artifact v4 composite
- openjournals/openjournals-draft-action master composite
- Aqua *
- CausalTables *
- DataAPI *
- DataFrames *
- Distributions *
- Graphs *
- LinearAlgebra *
- Random *
- SparseArrays *
- StatsBase *
- Tables *
- Test *
- DataAPI *
- Distributions *
- LinearAlgebra *
- MacroTools *
- Missings *
- NamedTupleTools *
- PrettyTables *
- SparseArrays *
- StatsBase *
- Tables *
- CausalTables *
- DataFrames *
- Distributions *
- Documenter *
- Graphs *
- MLDatasets *
- Tables *