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depscope/pypi/bicausal

bicausal

pypiv0.1.2

Bivariate Causal Discovery Toolbox. From the Thesis: Causal Discovery In Exchangeable Data, done at Instituto Superior Técnico, Universidade de Lisboa, Portugal.

License MIT License Copyright (c) 2025 Tiago Brogueira This work was generated as part of the thesis “Causal Discovery in Exchangeable Data” at Instituto Superior Técnico, Universidade de Lisboa, Portugal. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.2 versions3 deps7 weekly dl
Tmcgjogos/bicausal
53
/ 100
Health
safe to use

[email protected] is safe to use (health: 53/100)

Health breakdown0 – 100
25/25
maintenance
0/20
popularity
25/25
security
3/15
maturity
0/15
community
Vulnerabilities
0
none known

Health History

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Dependencies (3)
matplotlibnumpypandas
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Last updated · 2026-04-04T02:15:15.050466Z

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