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Gitea VS Apache Airflow

Compare Gitea VS Apache Airflow and see what are their differences

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Gitea logo Gitea

A painless self-hosted Git service

Apache Airflow logo Apache Airflow

Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
  • Gitea Landing page
    Landing page //
    2023-07-20
  • Apache Airflow Landing page
    Landing page //
    2023-06-17

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.

Apache Airflow features and specs

  • Scalability
    Apache Airflow can scale horizontally, allowing it to handle large volumes of tasks and workflows by distributing the workload across multiple worker nodes.
  • Extensibility
    It supports custom plugins and operators, making it highly customizable to fit various use cases. Users can define their own tasks, sensors, and hooks.
  • Visualization
    Airflow provides an intuitive web interface for monitoring and managing workflows. The interface allows users to visualize DAGs, track task statuses, and debug failures.
  • Flexibility
    Workflows are defined using Python code, which offers a high degree of flexibility and programmatic control over the tasks and their dependencies.
  • Integrations
    Airflow has built-in integrations with a wide range of tools and services such as AWS, Google Cloud, and Apache Hadoop, making it easier to connect to external systems.

Possible disadvantages of Apache Airflow

  • Complexity
    Setting up and configuring Apache Airflow can be complex, particularly for new users. It requires careful management of infrastructure components like databases and web servers.
  • Resource Intensive
    Airflow can be resource-heavy in terms of both memory and CPU usage, especially when dealing with a large number of tasks and DAGs.
  • Learning Curve
    The learning curve can be steep for users who are not familiar with Python or the underlying concepts of workflow management.
  • Limited Real-Time Processing
    Airflow is better suited for batch processing and scheduled tasks rather than real-time event-based processing.
  • Dependency Management
    Managing task dependencies in complex DAGs can become cumbersome and may lead to configuration errors if not properly handled.

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

Apache Airflow videos

+ Add

Airflow Tutorial for Beginners - Full Course in 2 Hours 2022

Category Popularity

0-100% (relative to Gitea and Apache Airflow)

Gitea

Apache Airflow

Code Collaboration
100 100%
Code Collaboration
0% 0
Workflow Automation
0 0%
Workflow Automation
100% 100
Git
100 100%
Git
0% 0
Automation
0 0%
Automation
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 Gitea and Apache Airflow

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

Apache Airflow Reviews

5 Airflow Alternatives for Data Orchestration
While Apache Airflow continues to be a popular tool for data orchestration, the alternatives presented here offer a range of features and benefits that may better suit certain projects or team preferences. Whether you prioritize simplicity, code-centric design, or the integration of machine learning workflows, there is likely an alternative that meets your needs. By...
Source: www.kdnuggets.com
Top 8 Apache Airflow Alternatives in 2024
Apache Airflow is a workflow streamlining solution aiming at accelerating routine procedures. This article provides a detailed description of Apache Airflow as one of the most popular automation solutions. It also presents and compares alternatives to Airflow, their characteristic features, and recommended application areas. Based on that, each business could decide which...
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
In a nutshell, you gained a basic understanding of Apache Airflow and its powerful features. On the other hand, you understood some of the limitations and disadvantages of Apache Airflow. Hence, this article helped you explore the best Apache Airflow Alternatives available in the market. So, you can try hands-on on these Airflow Alternatives and select the best according to...
Source: hevodata.com
A List of The 16 Best ETL Tools And Why To Choose Them
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows.
Source: www.datacamp.com
15 Best ETL Tools in 2022 (A Complete Updated List)
Apache Airflow programmatically creates, schedules and monitors workflows. It can also modify the scheduler to run the jobs as and when required.
Source: www.softwaretestinghelp.com

Social recommendations and mentions

Apache Airflow might be a bit more popular than Gitea. We know about 75 links to it since March 2021 and only 60 links to Gitea. 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

Apache Airflow mentions (75)

  • The DOJ Still Wants Google to Sell Off Chrome
    Is this really true? Something that can be supported by clear evidence? I’ve seen this trotted out many times, but it seems like there are interesting Apache projects: https://airflow.apache.org/ https://iceberg.apache.org/ https://kafka.apache.org/ https://superset.apache.org/. - Source: Hacker News / 2 months ago
  • 10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows
    Apache Airflow offers simplicity when it comes to scheduling, authoring, and monitoring ML workflows using Python. The tool's greatest advantage is its compatibility with any system or process you are running. This also eliminates manual intervention and increases team productivity, which aligns with the principles of Platform Engineering tools. - Source: dev.to / 3 months ago
  • Data Orchestration Tool Analysis: Airflow, Dagster, Flyte
    Data orchestration tools are key for managing data pipelines in modern workflows. When it comes to tools, Apache Airflow, Dagster, and Flyte are popular tools serving this need, but they serve different purposes and follow different philosophies. Choosing the right tool for your requirements is essential for scalability and efficiency. In this blog, I will compare Apache Airflow, Dagster, and Flyte, exploring... - Source: dev.to / 4 months ago
  • AIOps, DevOps, MLOps, LLMOps – What’s the Difference?
    Data pipelines: Apache Kafka and Airflow are often used for building data pipelines that can continuously feed data to models in production. - Source: dev.to / 4 months ago
  • Data Engineering with DLT and REST
    This article demonstrates how to work with near real-time and historical data using the dlt package. Whether you need to scale data access across the enterprise or provide historical data for post-event analysis, you can use the same framework to provide customer data. In a future article, I'll demonstrate how to use dlt with a workflow orchestrator such as Apache Airflow or Dagster.``. - Source: dev.to / 6 months ago
View more

What are some alternatives?

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

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

Make.com - Tool for workflow automation (Former Integromat)

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.

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

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

Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.

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