
Git
GitHub
VS Code
Mercurial SCM
Apache Subversion
GitKraken
GitHub Desktop
Azure DevOps
Databar.ai
Datatera.ai
ScrapIn
Apollo.io
Pipedream
Reverse Contact
Albato
Bardeen
Git
Databar.aiBased on our record, Git seems to be a lot more popular than Databar.ai. While we know about 319 links to Git, we've tracked only 13 mentions of Databar.ai. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
One last source of confusion worth clearing up. Git is the version control system itself, the underlying technology that does the change-tracking. GitHub is one popular place to host projects that use Git, and it is not the only one. GitLab and Bitbucket do much the same job. A beginner does not need to evaluate all three. Picking the one a tutorial or a friend already uses is a fine way to start because... - Source: dev.to / about 1 month ago
Use Git or a feature registry to track all changes. Versioned feature pipelines support reproducibility across both training and production. - Source: dev.to / about 1 month ago
The Git is the standard version control system in modern software development. With the ability to track changes and facilitate collaboration between teams, Git allows different versions of the source code to coexist, enabling parallel work and code maintenance. - Source: dev.to / about 1 month ago
Check the official website: https://git-scm.com/. - Source: dev.to / about 2 months ago
For complex codebases, a structured Markdown document organized by module works well as a starting point - it is human-readable and can be committed to version control alongside the code. For very large codebases, Git-tracked JSON or YAML dependency files, potentially visualized with a tool like Mermaid (available through GitHub), make the relationships searchable and interactive. - Source: dev.to / 2 months ago
So my team & I at databar.ai built a Chrome extension which (we think) is truly easy to use. Basically two clicks to turn any website into a structured dataset (there's a video showing how it works here). Source: about 3 years ago
Hi everyone! My team & I are building databar.ai, a spreadsheet that can connect to APIs, run enrichments on top of your data, and automate data flows through a table UI. We've been experimenting with pricing models and decided to launch on Product Hunt with our product requiring you to either sign up for a demo (after registration) or purchase a plan (plans start at $17/mo). Source: over 3 years ago
Mentioned that in my OC comment that people in different cities might be more lenient when leaving reviews. Unfortunately the only way to normalize is to get reviews for all restaurants in a city, comparing them, and then normalizing. We can do that with databar.ai but didn't want to turn this analysis into a thesis :). Source: over 3 years ago
Tools used for visualizing & embedding the data: databar.ai. Source: over 3 years ago
We're developing databar.ai - a no-code UI to work with third party data sources and APIs. Our users so far have used our site to scrape Google Maps, access all sorts of financial/crypto datasets (we have I think ~300 crytpo/finance data sources right now), scrape news articles, and more. Source: almost 4 years ago
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Datatera.ai - B2B SaaS no-code tool to simplify all data you have
VS Code - Build and debug modern web and cloud applications, by Microsoft
ScrapIn - LinkedIn Scraper without limit
Mercurial SCM - Mercurial is a free, distributed source control management tool.
Apollo.io - Apolloโs predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.