python-o365 VS taskipy

Compare python-o365 vs taskipy and see what are their differences.

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python-o365 taskipy
5 9
1,562 420
1.7% 1.4%
8.4 6.8
12 days ago 5 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

python-o365

Posts with mentions or reviews of python-o365. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-04.

taskipy

Posts with mentions or reviews of taskipy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-04.

What are some alternatives?

When comparing python-o365 and taskipy you can also consider the following projects:

Office365-REST-Python-Client - Microsoft 365 & Microsoft Graph Library for Python

Toolz - A functional standard library for Python.

shareplum - Pythonic SharePoint

wheezy.template - A lightweight template library.

mail-parser - Tokenizer for raw mails

yamlpath - YAML/JSON/EYAML/Compatible get/set/merge/validate/scan/convert/diff processors using powerful, intuitive, command-line friendly syntax.

exchange-mailbox-cleaner - Cleanup tool for Microsoft Exchange mailbox. Easy delete e-mails from MS Exchange Server (with backup/export messages to .eml files).

plumbum - Plumbum: Shell Combinators

pylightxl - A light weight, zero dependency, minimal functionality excel read/writer python library

zpy - Zsh helpers for Python venvs, with uv or pip-tools

latex-yearly-planner - Digital planner for Supernote and ReMarkable // Support Ukraine 🇺🇦 https://savelife.in.ua/en

requests-html - Pythonic HTML Parsing for Humans™