Software Alternatives, Accelerators & Startups

Enhanced GitHub VS LakeFS

Compare Enhanced GitHub VS LakeFS and see what are their differences

Enhanced GitHub logo Enhanced GitHub

:rocket: Chrome extension to display size of each file, download link and copy file contents directly to clipboard - softvar/enhanced-github

LakeFS logo LakeFS

lakeFS is an open-source tool that transforms your object storage to Git-like repositories. Start managing data the way you manage your code.
  • Enhanced GitHub Landing page
    Landing page //
    2022-11-06
  • LakeFS Landing page
    Landing page //
    2023-08-27

Enhanced GitHub features and specs

  • File Download
    Enhanced GitHub provides a direct download button for each file in a repository, which simplifies the process of obtaining files without needing to clone the entire repository.
  • Repo Size
    It displays the total size of the repository, which is not available in the default GitHub interface, helping users make informed decisions about cloning or downloading repositories.
  • Link to Release Downloads
    The tool provides quick access links to release downloads directly from the repository page, saving users time navigating through release sections.
  • Clone Speed Enhancement
    It offers estimated clone speeds based on your connection, improving user understanding of how long a repository might take to clone.

Possible disadvantages of Enhanced GitHub

  • Browser Compatibility
    Enhanced GitHub might not be compatible with all browsers as it primarily functions as a browser extension, limiting its accessibility.
  • Security Concerns
    As a third-party tool, there could be concerns regarding data security and privacy, since it requires permissions to access GitHub content.
  • Maintenance
    The project might not be regularly maintained or updated for new GitHub features or changes, which could lead to issues or reduced functionality.
  • Limited Scope
    While enhancing certain aspects of GitHub, the tool does not cover all potential improvements, limiting its usefulness to its specific features.

LakeFS features and specs

No features have been listed yet.

Enhanced GitHub videos

No Enhanced GitHub videos yet. You could help us improve this page by suggesting one.

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LakeFS videos

Getting Started With lakeFS

More videos:

  • Review - Get Ready for ML! Level Up Your Data Lake with Delta and lakeFS | Treeverse

Category Popularity

0-100% (relative to Enhanced GitHub and LakeFS)
Software Development
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Development
100 100%
0% 0
Cloud Storage
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Enhanced GitHub and LakeFS

Enhanced GitHub Reviews

We have no reviews of Enhanced GitHub yet.
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LakeFS Reviews

4 Must-Have Open Source Solutions for Object Storage
LakeFS allows you to create a development environment where you can perform experiments and document them in a reproducible manner. Like Git, you can create commits and branches, making it possible for you to move along the timeline of your application development and try out new features in isolation. Amazingly, lakeFS performs all this without duplicating any data โ€”...

Social recommendations and mentions

Based on our record, LakeFS seems to be more popular. It has been mentiond 6 times since March 2021. 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.

Enhanced GitHub mentions (0)

We have not tracked any mentions of Enhanced GitHub yet. Tracking of Enhanced GitHub recommendations started around Mar 2021.

LakeFS mentions (6)

  • Ask HN: AWS S3, Cloudflare R2, GCS, Wasabi, or B2?
    I would add https://github.com/gaul/s3proxy to your list. - Source: Hacker News / over 2 years ago
  • Dev / Stage / Prod is the wrong pattern for data pipelines
    * data state - this is contents of both your data and metadata at a given point in time. if your data doesn't fit into a single database, this can be difficult to manage. We use this technology to help us: https://lakefs.io/. - Source: Hacker News / almost 3 years ago
  • Dev / Stage / Prod is the wrong pattern for data pipelines
    Saltcured, find these comments super insightful! > Yeah, there's a lot of hidden magic/assumptions in having a "writable snapshot of a specific version" of production data. That's absolutely a huge assumption. This technology has been a game changer for us: https://lakefs.io/ > It becomes a headache when there is too much contention to use these sandboxes, or too much manual effort to reset them to a desired... - Source: Hacker News / almost 3 years ago
  • Using git to version control experimental data (not code)?
    You should not store your data in git itself, but rather use git to version your data sets. The currently best option for that is (IMHO) https://lakefs.io though there are a few others in various states of usability/maturity. Source: over 3 years ago
  • How are you incrementally testing your data pipelines as you develop them?
    I mean if you're ready to adopt a new framework into your ecosystem this is one of the major usecases for LakeFS. Source: over 3 years ago
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What are some alternatives?

When comparing Enhanced GitHub and LakeFS, you can also consider the following products

Refined GitHub - Browser extension that makes GitHub cleaner & more powerful

DVC - Diablo Valley College consists of two campuses serving more than 22,000 students in Contra Costa County each semester with a wide variety of program options.

GitZip - Download or create a download link for a GitHub project folder/sub-folder or file.

Monte Carlo Data - Monte Carloโ€™s Data Observability platform increases trust in data by eliminating data downtime, so engineers innovate more and fix less.

GitHub Hovercard - GitHub Hovercard provides neat hovercards for GitHub.

Git Large File Storage - Git Large File Storage (LFS) replaces large files such as audio samples, videos, datasets, and graphics with text pointers.