Software Alternatives, Accelerators & Startups
Register | Login
LT

Scikit-learn VS LibreTaxi

Compare Scikit-learn VS LibreTaxi and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

LibreTaxi logo LibreTaxi

Open source alternative to Uber/Lyft for Telegram
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • LibreTaxi Landing page
    Landing page //
    2021-07-23

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

LibreTaxi features and specs

  • Open Source
    LibreTaxi is an open-source platform, allowing for transparency and enabling users and developers to modify and improve the platform as needed.
  • Affordable
    LibreTaxi often offers more affordable rates compared to traditional ride-hailing services because it does not charge service fees.
  • Decentralized
    As a decentralized service, LibreTaxi operates without a central authority, providing more autonomy and potentially increased privacy for users.
  • No Service Fees
    LibreTaxi does not take a commission from fares, meaning drivers may retain more of their earnings.
  • Global Reach
    Since it is not limited by geographic restrictions imposed by corporations, LibreTaxi can be used anywhere in the world.

Possible disadvantages of LibreTaxi

  • Lack of Regulation
    The decentralized nature means there is less oversight, which could lead to issues with driver or passenger safety and service quality.
  • Limited Drivers
    As a less well-known platform, it may have fewer drivers available, particularly in less populated or less tech-savvy areas.
  • No In-app Payments
    LibreTaxi does not handle payments within the app, meaning users must arrange payment methods independently, which could be inconvenient.
  • User Interface
    The user interface and overall user experience may not be as polished or feature-rich as established proprietary ride-hailing apps.
  • Customer Support
    Due to its open-source and decentralized nature, customer support may be less reliable and less centralized compared to traditional ride-hailing services.

Analysis of Scikit-learn

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

Analysis of LibreTaxi

Overall verdict

  • LibreTaxi can be considered a good option for certain users.

Why this product is good

  • LibreTaxi is an open-source platform that offers a decentralized and affordable alternative to traditional taxi services. It connects drivers and passengers directly through Telegram, minimizing fees and allowing for greater flexibility. The platform is especially attractive for users who value open-source solutions, privacy, and those in regions where traditional ride-hailing services are not prevalent or too costly.

Recommended for

  • Individuals seeking an affordable ride-hailing service.
  • Users who prefer open-source platforms.
  • Regions where major ride-hailing services are unavailable.
  • Privacy-conscious users who want to avoid mainstream apps.
  • Communities looking for a customizable and scalable solution for local transportation.

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

LibreTaxi videos

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

Add video

Category Popularity

0-100% (relative to Scikit-learn and LibreTaxi)

Scikit-learn

LibreTaxi

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Ride Sharing
0 0%
Ride Sharing
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Taxi
0 0%
Taxi
100% 100

User comments

Share your experience with using Scikit-learn and LibreTaxi. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Scikit-learn and LibreTaxi

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...
Source: searchbusinessanalytics.techtarget.com

LibreTaxi Reviews

We have no reviews of LibreTaxi yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than LibreTaxi. It has been mentiond 31 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.

Scikit-learn mentions (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 6 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 12 months ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / about 1 year ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / almost 2 years ago
View more

LibreTaxi mentions (6)

  • Open source projects for community?
    Why doesn't india have more open source projects? I found [Libre taxi][https://libretaxi.org/] which is basically free open source ride sharing similar to uber\ola but saves the cut of company. This could potentially enable the lower class for higher profit margins. For a country that's a big player in software, we sure don't have many open source projects :(. Source: about 2 years ago
  • Expropriation of surplus value by capital
    Saw this alternative a while back. Haven't tried it, so dunno how good it is: https://libretaxi.org/. Source: almost 3 years ago
  • Fuck Doordash. Fuck UberEats. I'm launching my own open-source non-profit food delivery platform.
    Have you seen LibreTaxi (https://libretaxi.org/)? You might want to build on top on that. Source: about 3 years ago
  • Has Uber/Ola gotten basically unusable or is it just me ?
    There is this app that works using telegram API. It's called libre taxi. https://libretaxi.org/ One advantage with this project is that it is self hosted and federated. Source: about 3 years ago
  • Would anyone like to build a full stack project together?
    A project like libretaxi allows drivers to set their own prices and "haggle" with customers. I think it's a turn off for a customer to not know the price beforehand, and nobody appears to use that service. We would have a way that we democratically decide on a price to set and a percentage that the driver gets, giving drivers the ability to make decisions about how the company is run and ways it can benefit the... Source: over 3 years ago
View more

What are some alternatives?

When comparing Scikit-learn and LibreTaxi, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Uber - Uber is a website and mobile app that allows you to get a ride similar to a taxi service from your phone.

OpenCV - OpenCV is the world's biggest computer vision library

Lyft - Lyft is a mobile app that lets you get rides from pace to place for a fee. If you want to be a Lyft driver, you can go to their website and easily sign up to start driving for them. Read more about Lyft.

NumPy - NumPy is the fundamental package for scientific computing with Python

GO-JEK - Home & Family and Online Services

Loading...