Our great sponsors
| gdelt | heidi | |
|---|---|---|
| - | - | |
| - | 25 | |
| - | - | |
| - | 0.0 | |
| - | over 2 years ago | |
| Haskell | ||
| BSD 3-clause "New" or "Revised" License | 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.
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.
gdelt
Posts with mentions or reviews of gdelt.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning gdelt yet.
Tracking mentions began in Dec 2020.
heidi
Posts with mentions or reviews of heidi.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning heidi yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
When comparing gdelt and heidi you can also consider the following projects:
awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems.
generics-sop - Generic Programming using True Sums of Products
awesome-ml-for-cybersecurity - :octocat: Machine Learning for Cyber Security
datascience - Curated list of Python resources for data science.
awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning