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Gitea VS BigML

Compare Gitea VS BigML and see what are their differences

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Gitea logo Gitea

A painless self-hosted Git service

BigML logo BigML

BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
  • Gitea Landing page
    Landing page //
    2023-07-20
  • BigML Landing page
    Landing page //
    2022-10-08

Gitea features and specs

  • Open Source
    Gitea is open source, allowing users to freely inspect, modify, and contribute to its codebase. This fosters transparency and community-driven development.
  • Lightweight
    Gitea is designed to be lightweight, making it easy to run even on resource-limited systems. This makes it ideal for self-hosted environments.
  • Easy Installation
    Gitea offers a straightforward installation process, making it simple for users to get up and running quickly without complex setup procedures.
  • Rich Feature Set
    Despite being lightweight, Gitea provides a robust feature set, including issue tracking, pull requests, and continuous integration support, which covers the majority of use cases.
  • Active Community
    Gitea has an active and growing community, which contributes to its development and provides support through forums, documentation, and tutorials.
  • Customizable
    Gitea allows for extensive customization through configuration options and extensions, enabling users to tailor the platform to their specific needs.
  • Self-Hosting
    Users have full control over their repositories and data when self-hosting Gitea, which enhances privacy and security compared to third-party hosting services.

Possible disadvantages of Gitea

  • Limited Enterprise Features
    Gitea may lack some advanced enterprise features found in other platforms like GitHub Enterprise or GitLab, such as advanced permissions management and extensive integrations.
  • Smaller Ecosystem
    Compared to larger platforms like GitHub, Gitea has a smaller ecosystem of plugins and integrations, which may limit certain functionalities.
  • Community Support
    While Gitea has an active community, it lacks the formal, professional support options available from larger commercial services, which might be a drawback for businesses seeking guaranteed support.
  • Learning Curve
    New users may experience a learning curve when transitioning to Gitea, especially if they are accustomed to other platforms with different workflows and interfaces.
  • Scalability Concerns
    For very large projects or organizations, Gitea may face scalability issues, as it is designed to be lightweight and may not handle extremely large loads as well as some competitors.
  • Update Management
    Users are responsible for managing Gitea updates and server maintenance when self-hosting, which requires additional administrative effort compared to cloud-hosted solutions.

BigML features and specs

  • User-Friendly Interface
    BigML offers an intuitive web-based interface that makes it easy for users to build and deploy machine learning models without deep technical knowledge.
  • Wide Range of Algorithms
    It supports various machine learning algorithms, including regression, classification, clustering, and anomaly detection, catering to diverse use cases.
  • Ease of Integration
    BigML provides robust API support, allowing seamless integration with other applications and systems for streamlined workflows.
  • Visualization Tools
    The platform includes powerful visualization tools that help in understanding data, model performance, and results, aiding in better decision-making.
  • Scalability
    BigML's cloud-based infrastructure allows it to scale easily, handling large datasets and complex models efficiently.
  • Automated Workflows
    It offers automation features like WhizzML for creating automated workflows and advanced scripts, making repetitive tasks simpler.

Possible disadvantages of BigML

  • Cost
    The pricing structure can be a limiting factor for startups or individual users, especially when dealing with large amounts of data.
  • Limited Customization
    While the platform offers many pre-built algorithms, there is limited scope for customization compared to building models from scratch using open-source libraries.
  • Learning Curve
    Despite its user-friendly design, there can be a learning curve for those unfamiliar with machine learning concepts, particularly for advanced features.
  • Dependency on Internet
    As a cloud-based service, users need a reliable internet connection to access and utilize BigML's features, which can be a drawback in areas with poor connectivity.
  • Data Privacy Concerns
    Using a cloud-based service can raise data privacy and security concerns, particularly for sensitive or proprietary data.

Analysis of Gitea

Overall verdict

  • Gitea is generally considered a good option for users seeking a lightweight and self-hosted alternative to more resource-intensive platforms like GitLab or GitHub Enterprise. Its ease of use, open-source nature, and flexibility make it an attractive choice for personal projects or small to medium-sized teams.

Why this product is good

  • Gitea is a lightweight, self-hosted git service that's open-source and easy to set up. It's designed to be accessible and simple while offering essential features for project hosting and collaboration. Gitea supports a wide range of platforms and architectures due to its Go-based implementation, and it has a strong community support. It is particularly valued for its low resource usage and its ability to run on minimal hardware.

Recommended for

    Gitea is recommended for developers and teams who prefer self-hosted solutions and need an efficient, uncomplicated git service. It's suitable for small to medium-sized projects where simplicity, low resource requirements, and ease of deployment are key considerations. It's also a good fit for users who want full control over their source code hosting environment.

Analysis of BigML

Overall verdict

  • BigML is a good choice for users seeking an accessible and efficient machine learning platform. Its combination of ease of use, flexibility, and robust features allows for effective data analysis and model deployment, making it suitable for many use cases.

Why this product is good

  • BigML is a popular machine learning platform known for its user-friendly interface and comprehensive suite of tools that cater to both beginners and experts. It offers a wide range of machine learning models and allows for seamless integration with other tools and workflows. Users appreciate its ease of use, scalability, and ability to handle various types of data. Additionally, BigML provides extensive documentation and support, making it an attractive option for those looking to implement machine learning solutions without extensive coding knowledge.

Recommended for

  • Data scientists and analysts looking for an intuitive platform to build and deploy models.
  • Businesses aiming to integrate machine learning into their operations without a steep learning curve.
  • Educators and students who wish to explore machine learning concepts hands-on.
  • Developers needing a scalable solution with ample API support for custom applications.
  • Organizations looking for a reliable and secure cloud-based machine learning solution.

Gitea videos

+ Add

GITEA REVIEW ⭐ TUTORIAL 👨 RUN YOUR OWN GIT SERVER 💻 $50 FREEBIE 💰

More videos:

  • Review - Migrate to a Microsoft Github Alternative: Gitea
  • Review - Gitea - Git with a cup of tea - Installation and Configuration

BigML videos

+ Add

BigML is Machine Learning for Everyone

More videos:

  • Review - BigML Spring 2016 Webinar - WhizzML!

Category Popularity

0-100% (relative to Gitea and BigML)

Gitea

BigML

Code Collaboration
100 100%
Code Collaboration
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Git
100 100%
Git
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Gitea and BigML. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Gitea and BigML

Gitea Reviews

The Top 10 GitHub Alternatives
Gitea is a painless self-hosted all-in-one software development service that includes Git hosting, code review, team collaboration, package registry, and CI/CD. It is similar to GitHub, Bitbucket, and GitLab. Gitea was forked from Gogs originally and almost all the code has been changed.
Source: www.wearedevelopers.com
Top 7 GitHub Alternatives You Should Know (2024)
Gitea is a lightweight, fast, and reliable DevOps platform providing development teams with essential version control and collaboration features. k
Source: snappify.com
Let's Make Sure Github Doesn't Become the only Option
The Pull Request workflow is so dominant now that it’s considered the default path for code to permanently enter into a repository. You can see a similar features in GitHub’s smaller competition Codeberg, GitLab, BitBucket, and Gitea. These competitors don’t offer other, major code collaboration tools, and their Pull Request-like features aren’t just there to help users come...
Source: blog.edwardloveall.com
Gitea - Alternative to GitLab and GitHub
There are still plenty of things you might want centralized on a server somewhere, but it seems like a lot of the value add of GitHub, GitLab, and now Gitea is in making git repos easier to manage and interact with.
Source: news.ycombinator.com

BigML Reviews

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

Social recommendations and mentions

Based on our record, Gitea seems to be a lot more popular than BigML. While we know about 60 links to Gitea, we've tracked only 2 mentions of BigML. 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.

Gitea mentions (60)

  • Beware Offers of “Help” with Your Projects
    This reminds me of Gogs [0], where the original author refused a lot of good ideas and improvements, eventually leading to a fork [1] that's now a lot more popular and active than the original. [0] https://gogs.io/ [1] https://gitea.io/en-us/. - Source: Hacker News / about 2 years ago
  • Incident with Issues and Pull Requests
    Yes, we do this using https://gitea.io/en-us/ on a private server. Firewall, backups and a replica running for most projects. Github is only used when it's required by a stakeholder. - Source: Hacker News / about 2 years ago
  • Let's Make Sure GitHub Doesn't Become the Only Option
    There's a number of places out there, some of which also support alternatives to Git itself. By no means a complete list and in no particular order: GitLab - https://about.gitlab.com/ Sourcehut - https://sourcehut.org/ Codeberg - https://codeberg.org/ Launchpad - https://launchpad.net/ Debian Salsa - https://salsa.debian.org/public Pagure - https://pagure.io/pagure For self hsoted options, there's these below... - Source: Hacker News / about 2 years ago
  • If you're on DSM 6 and still waiting for an update on the GitLab package, don't bother
    And if you need GitLab (for runner, etc...) then it's not too bad to run in Docker. But if anyone is looking for a somewhat simpler git solution, gitea is pretty great. Source: about 2 years ago
  • OpenBSD Upgrade 7.2 to 7.3
    Check: Configuration and syntax changes and Special packages. The latter includes changes on PostgreSQL, Python and Gitea. - Source: dev.to / about 2 years ago
View more

BigML mentions (2)

  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Bigml.com — Hosted machine learning algorithms. Unlimited free tasks for development, limit of 16 MB data/task. - Source: dev.to / almost 4 years ago
  • Theory: The price action was intentionally manipulated to prevent any AI from being able to predict it. First time this model shows as flat. Forever.
    They know the website is bigml.com it's possible they have many magnitudes better algorithms to predict this shit. And it's also possible they paid some quants to come up with price action that just completely fucks with BigML's algorithm entirely to make it look flat. Source: about 4 years ago

What are some alternatives?

When comparing Gitea and BigML, you can also consider the following products

GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

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.

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

BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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