taxonomy4good VS osdg-tool

Compare taxonomy4good vs osdg-tool and see what are their differences.

taxonomy4good

Taxonomy4Good: a sustainability lexicon that provides the freedom to create custom taxonomies in addition to listed ESG and Sustainability Standards taxonomies. (by Good-Data-Hub)

osdg-tool

OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes. (by osdg-ai)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
taxonomy4good osdg-tool
3 3
25 31
- -
8.3 0.0
6 months ago about 1 year ago
Python Python
MIT License GNU Lesser General Public License v3.0 only
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.

taxonomy4good

Posts with mentions or reviews of taxonomy4good. We have used some of these posts to build our list of alternatives and similar projects.

osdg-tool

Posts with mentions or reviews of osdg-tool. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-13.
  • [D] Any ideas for an NLP classifier for which I don't have any ground truth?
    1 project | /r/MachineLearning | 14 Jun 2022
    I've worked with Sustainable Development Goals classifier but I already had some tags(https://github.com/osdg-ai/osdg-tool/blob/pre-release/osdg/core/sdg/data_files/OSDG-kw-mapping.json) so I was able to perform word matching. But in this case, I don't have any kind of data. Is anyone aware of any pre-trained model, dataset, or any of that sort that could help me build a model?
  • OSDG Community Dataset | First results of a citizen science initiative on UN SDGs
    2 projects | /r/UnitedNations | 13 Jul 2021
    This datasets is made possible because of a large community effort. We would be glad to see your contribution to the project too. You can join our Community Platform to help us collect more labelled data. If you have a more technical background, you can also contribute to the OSDG Labelling Tool here. If you want to contribute to the project in some other way, do let us know via this contact form.
  • First results of a fully-online citizen science initiative on UN SDGs
    2 projects | /r/CitizenScience | 13 Jul 2021
    Today we are sharing the OSDG Community Dataset (OSDG-CD), a direct result of the work of hundreds of volunteers who have contributed to our understanding of the SDGs. It contains thousands of text excerpts which were labelled by the community volunteers with respect to SDGs. For each piece of text, the suggested label was also validated by the OSDG Labelling Tool (OSDG-LT).

What are some alternatives?

When comparing taxonomy4good and osdg-tool you can also consider the following projects:

tika-python - Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.

sdg-004 - This project is inspired to provide a swift response to tackle this under reported cases. It is a reporting platform aimed to help provide help and solutions to this ravaging under reported issues baffling our society. SpeakUp work by following up reported cases, giving guides and tips on possible way out based on the report and help asked for.

rakun2 - RaKUn 2.0 - A fast keyword detection algorithm

pymilo - PyMilo: Python for ML I/O

turkish-deasciifier - Turkish deasciifier in Python based on Deniz Yüret's turkish-mode for Emacs

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

wordhoard - This Python module can be used to obtain antonyms, synonyms, hypernyms, hyponyms, homophones and definitions.