Shlink vs Oreokit

Struggling to choose between Shlink and Oreokit ? Both products offer unique advantages, making it a tough decision.

Shlink is a Online Services solution with tags like url-shortener, link-tracking, analytics.

It boasts features such as URL shortening, Link customization and vanity URLs, Click analytics and tracking, Geolocation, QR code generation, REST API, Import/export, Blacklists, Multi-domain support and pros including Self-hosted and open source, Free and easy to set up, Customizable and extensible, Robust analytics and tracking, REST API for integration, Active development and support.

On the other hand, Oreokit is a Ai Tools & Services product tagged with 3d-reconstruction, augmented-reality, python, computer-vision, open-source.

Its standout features include 3D reconstruction from images, Augmented reality integration, Camera calibration, Multi-view stereo, Structure from Motion (SfM), Texturing and meshing, and it shines with pros like Open source, Active development community, Modular design, Python API, Good documentation.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Shlink

Shlink

Shlink is an open source URL shortener that can be self-hosted. It provides an easy way to shorten links and track clicks. Shlink features geolocalization of clicks, QR code generation for shortened URLs, and a REST API.

Categories:
url-shortener link-tracking analytics

Shlink Features

  1. URL shortening
  2. Link customization and vanity URLs
  3. Click analytics and tracking
  4. Geolocation
  5. QR code generation
  6. REST API
  7. Import/export
  8. Blacklists
  9. Multi-domain support

Pricing

  • Open Source
  • Self-Hosted

Pros

Self-hosted and open source

Free and easy to set up

Customizable and extensible

Robust analytics and tracking

REST API for integration

Active development and support

Cons

Requires technical expertise to set up and manage

Limited native mobile app support

Basic admin UI

No browser extensions

Lacks some enterprise features


Oreokit

Oreokit

Oreokit is an open-source computer vision library for Python focused on 3D reconstruction and augmented reality. It provides tools for generating textured 3D meshes from images and integrating them into applications.

Categories:
3d-reconstruction augmented-reality python computer-vision open-source

Oreokit Features

  1. 3D reconstruction from images
  2. Augmented reality integration
  3. Camera calibration
  4. Multi-view stereo
  5. Structure from Motion (SfM)
  6. Texturing and meshing

Pricing

  • Open Source

Pros

Open source

Active development community

Modular design

Python API

Good documentation

Cons

Limited compared to commercial solutions

Steep learning curve

Fragmented ecosystem