Package Health Score

59 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Limited

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Popularity

Small

GitHub Stars: 10
Forks: 2
Contributors: 2

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package trisicell, we found that it has been starred 10 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 23, 2023
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-3-Clause

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 0
Open PR: 0
Last Release: 11 months ago
Last Commit: 11 months ago

Further analysis of the maintenance status of trisicell based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

We found that trisicell demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: Yes
Contributors: 2
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.6

Age: 4 years
Latest Release: 11 months ago
Dependencies: 26 Direct
Versions: 26
Maintainers: 1
Wheels: Linux, macOS

Readme

Trisicell - Scalable intratumor heterogeneity inference and validation from single-cell data

Trisicell (Triple-toolkit for single-cell intratumor heterogeneity inference), pronounced as "tricycle", is a new computational toolkit for scalable intratumor heterogeneity inference and evaluation from single-cell RNA, as well as single-cell genome or exome, sequencing data. Trisicell utilizes expressed SNVs and Indels to infer evolutionary relationships between genomic alterations and the cells that harbor them.

Support

Feel free to submit an issue. Your help to improve Trisicell is highly appreciated.

Trisicell was developed in collaboration between the Cancer Data Science Laboratory (CDSL) and the Laboratory of Cancer Biology and Genetics (LCBG) at the National Cancer Institute (NCI).

trisicell dependencies

anndata apted biopython click cython cyvcf2 ete3 ipython joblib matplotlib mudata natsort networkx numba numpy pandas pybnb pydot python-sat pyyaml scanpy scikit-learn scipy seaborn termcolor tqdm

FAQs

What is trisicell?

. Visit Snyk Advisor to see a full health score report for trisicell, including popularity, security, maintenance & community analysis.

Is trisicell popular?

The python package trisicell receives a total of 1,463 weekly downloads. As such, trisicell popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is trisicell well maintained?

We found indications that trisicell is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is trisicell safe to use?

The python package trisicell was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 8 November-2024, at 23:38 (UTC).

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Readme

Trisicell - Scalable intratumor heterogeneity inference and validation from single-cell data

Support

trisicell dependencies

FAQs

What is trisicell?

Is trisicell popular?

Is trisicell well maintained?

Is trisicell safe to use?

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Readme

Trisicell - Scalable intratumor heterogeneity inference and validation from single-cell data

Support

trisicell dependencies

FAQs

What is trisicell?

Is trisicell popular?

Is trisicell well maintained?

Is trisicell safe to use?

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Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

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