Software Alternatives & Startups
Register | Login

GitHub Surf VS CardStream AI

Compare GitHub Surf VS CardStream AI and see what are their differences

GitHub Surf

Open repositories in a VSCode environment in your browser

No screenshot yet
Rating
0 reviews
Pricing
Open source
Promote on VibeVoted
Alternatives Is it good?
CardStream AI

Cardstream.ai is open-source software that identifies trading cards the moment they appear on a live stream: name, set, card number and confidence in about half a second. It runs on your CPU and calls the recognition API once per card, not per frame.

Rating
0 reviews
Pricing
Open source Freemium $11 / One-off (Smallest credit pack)
Promote on VibeVoted
Alternatives Is it good?
InboxAgent
InboxAgent uses AI to read your shared mailboxes, like info@ and sales@, plus everyone's own inbox, on Microsoft 365, Gmail, Zoho Mail or IMAP. It finds the sales leads and gives each an owner on a board. Never sends from your mailbox. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Productivity popularity
100% vs 0%
alternatives listed
1 vs 4

Base details

Website, pricing, platforms and company facts side by side.

GitHub Surf
CardStream AI
Website github.surf cardstream.ai
Pricing
Open source
Open source Freemium $11 / One-off (Smallest credit pack) Official pricing
Company — Startup from the Czech Republic · 2026
Listed in
Developer Tools Productivity Note Note Taking +1
Self-hosted REST API Live Streaming Trading Cards Collectibles TCGs Sports Cards Whatnot YouTube AI +7

About GitHub Surf and CardStream AI

In their own words, as submitted to SaaSHub.

GitHub Surf
CardStream AI

No description of GitHub Surf yet.

Cardstream.ai is open-source software that identifies trading cards on live streams. Point a camera at a card and it returns the name, set, set code, card number, series and year in about half a second, with a confidence level and up to four alternative matches. It supports 25+ trading card...

Read more about CardStream AI

Features and specs

What each product offers, as listed by its team.

GitHub Surf 4 features
CardStream AI 12 features
  • User-Friendly Interface
    GitHub Surf provides an intuitive and easy-to-navigate interface that makes it accessible for both beginners and experienced users.
  • Integration with GitHub
    The tool seamlessly integrates with GitHub, allowing users to easily access repositories and track changes efficiently.
  • Real-Time Collaboration
    It supports real-time collaboration features, enabling multiple users to work on the same project simultaneously and see each other's edits instantly.
  • Visual Representation
    Provides a visual representation of project histories and branches, which helps in understanding the development process better.

Possible disadvantages

  • Limited Offline Capabilities
    GitHub Surf requires an internet connection for most functionalities, which limits its usability in offline scenarios.
  • Learning Curve
    Users new to GitHub or similar platforms might experience a learning curve when first using GitHub Surf, owing to its various features and tools.
  • Performance Issues
    Some users may experience performance lags or slower response times when working with large repositories.
  • Privacy Concerns
    As with any online tool, there might be concerns related to data privacy and security, especially when dealing with sensitive project information.
  • Real-time card identification
    Names each trading card on stream in about half a second: name, set, number, series and year
  • Supported games
    25+ trading card games, including Pokémon, MTG, Yu-Gi-Oh!, One Piece and Lorcana
  • Confidence tiers
    Every match is rated High, Medium or Low; set a threshold to keep weak matches off the overlay
  • Alternative matches
    Up to four other cards it could have been, shown with every result
  • One API call per card
    A local motion gate and same-card check mean only a new card triggers an identification call
  • Runs on CPU
    Detection and gating run on your own computer, no GPU needed
  • Video sources
    Webcam, video file, OBS push over RTMP or SRT, RTSP/RTMP/SRT pull, WebSocket JPEG feeds
  • Stream overlay
    Browser UI with the match, a bounding box and a history of every card shown
  • Live settings
    Thresholds, game and set code can be changed from the browser mid-stream
  • Price statistics
    Optional USD median, range and latest sale for each match
  • Private by design
    Only one image crop per new card leaves your machine; the stream stays local
  • Open source
    Code and model weights under Apache-2.0; connect Ximilar’s API or your own recogniser

Analysis

An editorial look at what each product does well and who it suits.

GitHub Surf
CardStream AI

Overall verdict

  • GitHub Surf appears to be a niche tool designed to enhance the experience of browsing and exploring GitHub repositories, offering a more visual or streamlined interface than GitHub's native UI. It seems useful for developers who want a faster or more intuitive way to navigate codebases, though as a smaller or newer service, it may lack the robustness, feature completeness, or long-term support of GitHub's official tools.

Why this product is good

  • Provides an alternative, potentially more visual or user-friendly way to browse GitHub repositories
  • May offer quicker navigation or discovery features compared to GitHub's default interface
  • Useful for developers who want to explore codebases without cloning them locally
  • Likely lightweight and focused on a specific browsing use case

Recommended for

  • Developers who frequently browse open-source repositories and want a different visual experience
  • Users looking for quick repository exploration without needing full GitHub account features
  • Casual coders or students exploring codebases for learning purposes
  • Those seeking alternative UI/UX for GitHub navigation as a supplementary tool

No analysis of CardStream AI yet.

Videos

Walkthroughs and reviews on video.

GitHub Surf 0 videos + Add
CardStream AI 1 video + Add

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

Cardstream Identifying a Card in Real Time

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
GitHub Surf
CardStream AI
100% 100%
Productivity
0% 0%
0% 0%
YouTube
100% 100%
100% 100%
Note Taking
0% 0%
0% 0%
Live Streaming
100% 100%

Questions & Answers

As answered by people managing GitHub Surf and CardStream AI.

What's the story behind your product?

CardStream AI's answer:

Cardstream.ai is built by Ximilar, a computer vision company in Brno, Czech Republic, and the maker of the Collectibles Recognition API. In live card breaks the seller opens packs on camera and names every card by hand. Cardstream.ai identifies those cards from the stream automatically. Most of the engineering went into keeping it cheap to run, so that the paid API is called only when a new card appears. It was first released as open source in September 2026.

What makes your product unique?

CardStream AI's answer:

Cardstream.ai is open source and runs on your own computer. It watches the video you already stream and identifies each trading card in about half a second, with no button to press. A local engine checks whether the card has stopped moving and whether it’s a new card. Only a new card triggers a paid identification call: about 100 calls an hour instead of 54,000.

Why should a person choose your product over its competitors?

CardStream AI's answer:

Most card recognition tools for live streams are either closed paid services or browser extensions that identify one card per click. Cardstream.ai is free and open source (Apache-2.0), works automatically on the live video, and needs no GPU. It never logs in to your marketplace accounts. Only one image crop per new card leaves your machine, and you can connect your own recogniser instead of Ximilar’s API.

Who are some of the biggest customers of your product?

CardStream AI's answer:

Leave this empty. There are no named public users yet, and a made-up list would be easy to disprove.

How would you describe the primary audience of your product?

CardStream AI's answer:

Card breakers and live sellers on Whatnot, Fanatics Live, eBay Live and TikTok Shop, and card shops streaming on Twitch or YouTube. It’s also for developers who want to add card recognition to their own streaming or scanning setup.

Which are the primary technologies used for building your product?

CardStream AI's answer:

Python, ONNX Runtime, an RF-DETR segmentation model trained by Ximilar for finding the card, and an embedding model for the same-card check (Torch, ONNX or LiteRT backends). It also uses ffmpeg for RTSP, RTMP and SRT streams, a local browser interface, Docker, and Ximilar’s Collectibles Recognition API for identification.

User comments

Share your experience with using GitHub Surf and CardStream AI. For example, how are they different and which one is better?

Log in or Post with

Alternatives to GitHub Surf and CardStream AI

When comparing GitHub Surf and CardStream AI, you can also consider the following products.

Loading...