View textfsm on Snyk Open Source Advisor

Package Health Score

71 / 100

security
No known security issues
popularity
Influential project
maintenance
Inactive
community
Active

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Popularity

Influential project

GitHub Stars: 1.1K
Forks: 168
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package textfsm, we found that it has been starred 1,097 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jul 6, 2022
Direct Vulnerabilities: 0
C
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

Apache-2.0

Security Policy

We found a way for you to contribute to the project! Looks like textfsm is missing a security policy.

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Maintenance

Inactive

Commit Frequency

Open Issues: 10
Open PR: 4
Last Release: 2 years ago
Last Commit: 1 month ago

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

An important project maintenance signal to consider for textfsm is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

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

Active

Readme: Yes
Contributing.md: No
Code of Conduct: Yes
Contributors: 20
Funding: No

With more than 10 contributors for the textfsm repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: ==2.*, ==3.*

Age: 7 years
Latest Release: 2 years ago
Dependencies: N/A
Versions: 6
Maintainers: 2
Wheels: OS Independent

Not sure how to use textfsm?

To help you get started, we've collected the most common ways that textfsm is being used within popular public projects.

google / textfsm / textfsm / texttable.py View on Github

Raises:
      TableError: If col_size is too small to fit the words in the text.
    """
    result = []
    if '\n' in text:
      for paragraph in text.split('\n'):
        result.extend(self._TextJustify(paragraph, col_size))
      return result

    wrapper = textwrap.TextWrapper(width=col_size-2, break_long_words=False,
                                   expand_tabs=False)
    try:
      text_list = wrapper.wrap(text)
    except ValueError:
      raise TableError('Field too small (minimum width: 3)')

    if not text_list:
      return [' '*col_size]

    for current_line in text_list:
      stripped_len = len(terminal.StripAnsiText(current_line))
      ansi_color_adds = len(current_line) - stripped_len
      # +2 for white space on either side.
      if stripped_len + 2 > col_size:
        raise TableError('String contains words that do not fit in column.')

      result.append(' %-*s' % (col_size - 1 + ansi_color_adds, current_line))

    return result

View more ways to use textfsm

FAQs

What is textfsm?

Python module for parsing semi-structured text into python tables. Visit Snyk Advisor to see a full health score report for textfsm, including popularity, security, maintenance & community analysis.

Is textfsm popular?

The python package textfsm receives a total of 121,984 weekly downloads. As such, textfsm popularity was classified as an influential project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is textfsm well maintained?

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

Is textfsm safe to use?

The python package textfsm 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 26 July-2024, at 20:12 (UTC).

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textfsm

Python module for parsing semi-structured text into python tables. For more information about how to use this package see README

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