Software Alternatives, Accelerators & Startups

Streamlit VS Luigi

Compare Streamlit VS Luigi and see what are their differences

Streamlit logo Streamlit

Turn python scripts into beautiful ML tools

Luigi logo Luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs.
  • Streamlit Landing page
    Landing page //
    2023-10-07
  • Luigi Landing page
    Landing page //
    2023-10-08

Streamlit videos

My thoughts on web frameworks in Python and R (PyWebIO vs Streamlit vs R Shiny)

More videos:

  • Review - 1/4: What is Streamlit
  • Tutorial - How to Build a Streamlit App (Beginner level Streamlit tutorial) - Part 1

Luigi videos

Luigi's Mansion 3 Review

More videos:

  • Review - Luigi's Mansion 3 Review
  • Review - Luigi's Mansion 3 - REVIEW (Nintendo Switch)

Category Popularity

0-100% (relative to Streamlit and Luigi)
Productivity
100 100%
0% 0
Workflow Automation
0 0%
100% 100
Developer Tools
100 100%
0% 0
Workflows
0 0%
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 Streamlit and Luigi

Streamlit Reviews

We have no reviews of Streamlit yet.
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Luigi Reviews

5 Airflow Alternatives for Data Orchestration
In this blog post, we will discuss five alternatives to manage workflows: Prefect, Dagster, Luigi, Mage AI, and Kedro. These tools can be used for any field, not just limited to data engineering. By understanding these tools, you'll be able to choose the one that best suits your data and machine learning workflow needs.
Top 8 Apache Airflow Alternatives in 2024
Even though Airflow and Luigi have much in common (open-source projects, Python used, Apache license), they have slightly different approaches to data workflow management. The first thing is that Luigi prevents tasks from running individually, which limits scalability. Moreover, Luigi’s API implements fewer features than that of Airflow, which might be especially difficult...
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
Among a popular choice for an Apache Airflow alternative is Luigi. It is a Python package that handles long-running batch processing. This means that it manages the automatic execution of data processing processes on several objects in a batch. A data processing job may be defined as a series of dependent tasks in Luigi.
Source: hevodata.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When does Luigi make sense? If you need to automate simple ETL processes (like logs) Luigi can handle them rapidly and without much setup. When it comes to complex tasks, Luigi is limited by its strict pipeline-like structure.
Source: www.xplenty.com
Comparison of Python pipeline packages: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX
Luigi enables you to define your pipeline by child classes of Task with 3 class methods (requires, output, run) in Python code.
Source: medium.com

Social recommendations and mentions

Based on our record, Streamlit seems to be a lot more popular than Luigi. While we know about 174 links to Streamlit, we've tracked only 9 mentions of Luigi. 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.

Streamlit mentions (174)

  • Developing a Generic Streamlit UI to Test Amazon Bedrock Agents
    I decided to use Streamlit to build the UI as it is a popular and fitting choice. Streamlit is an open-source Python library used for building interactive web applications specially for AI and data applications. Since the application code is written only in Python, it is easy to learn and build with. - Source: dev.to / 8 days ago
  • PySheets – Spreadsheet UI for Python
    Does it need to be live (i.e when database or underlying spreadsheet updates does it need to be reflected in real time on the dashboard) or are you ok with static display. Live updating data is a pain I've messed around using javascript to force refresh html iframes on a timer. But I was never really satisfied with this. I've heard you can do things with websockets but that is starting to get too complicated for... - Source: Hacker News / 17 days ago
  • Building an Email Assistant Application with Burr
    Note that there are many tools that make this easier/simpler to prototype, including chainlit, streamlit, etc… The backend API we built is amenable to interacting with them as well. - Source: dev.to / 17 days ago
  • Creating a Sales Analysis Application with Streamlit: A Practical Approach to Business Intelligence
    2.-Go to https://streamlit.io, log in, and create a new app from your GitHub repository. - Source: dev.to / 24 days ago
  • Python dev considering Electron vs. Kivy for desktop app UI
    Hello, Have you ever seen the https://streamlit.io/ ? I think this is what you are looking for. - Source: Hacker News / about 1 month ago
View more

Luigi mentions (9)

  • Ask HN: What is the correct way to deal with pipelines?
    I agree there are many options in this space. Two others to consider: - https://airflow.apache.org/ - https://github.com/spotify/luigi There are also many Kubernetes based options out there. For the specific use case you specified, you might even consider a plain old Makefile and incrond if you expect these all to run on a single host and be triggered by a new file... - Source: Hacker News / 8 months ago
  • In the context of Python what is a Bob Job?
    Maybe if your use case is “smallish” and doesn’t require the whole studio suite you could check out apscheduler for doing python “tasks” on a schedule and luigi to build pipelines. Source: almost 2 years ago
  • Lessons Learned from Running Apache Airflow at Scale
    What are you trying to do? Distributed scheduler with a single instance? No database? Are you sure you don't just mean "a scheduler" ala Luigi? https://github.com/spotify/luigi. - Source: Hacker News / almost 2 years ago
  • Apache Airflow. How to make the complex workflow as an easy job
    It's good to know what Airflow is not the only one on the market. There are Dagster and Spotify Luigi and others. But they have different pros and cons, be sure that you did a good investigation on the market to choose the best suitable tool for your tasks. - Source: dev.to / over 2 years ago
  • DevOps Fundamentals for Deep Learning Engineers
    MLOps is a HUGE area to explore, and not surprisingly, there are many startups showing up in this space. If you want to get it on the latest trends, then I would look at workflow orchestration frameworks such as Metaflow (started off at Netflix, is now spinning off into its own enterprise business, https://metaflow.org/), Kubeflow (used at Google, https://www.kubeflow.org/), Airflow (used at Airbnb,... Source: about 2 years ago
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What are some alternatives?

When comparing Streamlit and Luigi, you can also consider the following products

Anvil.works - Build seriously powerful web apps with all the flexibility of Python. No web development experience required.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Cardapio - Cardapio is an application menu that can work in two modes: as a panel applet (in which case it is...

Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.

FastAPI - FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

Azkaban - Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs.