Assembly Line

Technical

Various indicators developed or collected for the Freqtrade

Technical is an open-source dataframes and notebooks project on GitHub under the GPL-3.0 license (strong copyleft), with 1k stars. It is built with CPython, pandas and NumPy. Its last push was today.

Stars
1k
License
GPL-3.0
Activity
Active
Latest release
1.7.0

Code on GitHub

Judgement

What it is
Building block
What it does
A Python library of trading indicators and helpers, such as consensus indicators and timeframe resampling, collected for writing Freqtrade strategies.
Adopt it when
You write Freqtrade crypto trading strategies and need indicators that TA-Lib does not include.
Watch out
It is GPL-3.0 and shaped around Freqtrade's DataFrame conventions, so it is less useful outside that bot.
Ready for
Usable
Runs as
Library
Built with
Python, pandas and NumPy
How established
Established: started 8 years ago, latest release 1.7.0.
What the license allows
Use inside your business is unrestricted, but anything you distribute that includes it must be released under the same license.

Judged on 2026-11-06 from the project's README and GitHub data. The license and age lines are worked out directly.

Built from

Follow it down: Technical → CPython → GCC → LLVM project → runs on a microchip

How compilers were built, back to punched paper tape

Open-source alternatives to Technical

  1. 1
    pandas pandas-dev

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

    Building block Production-ready You analyse spreadsheets, CSVs or database extracts in Python.

    ★ 50k BSD-3-Clause Python Active, pushed today
  2. 2
    DuckDB duckdb

    DuckDB is a high-performance analytical database system

    Building block Production-ready You analyse data that fits on one machine and want fast SQL without running a server.

    ★ 43k MIT C++ Active, pushed 6 days ago
  3. 3
    Polars pola-rs

    Extremely fast Query Engine for DataFrames, written in Rust

    Building block Production-ready Your pandas workloads are slow or run out of memory on a single machine and you can rewrite them in Polars' expression API.

    ★ 40k MIT Rust Active, pushed today
  4. 4
    marimo marimo-team

    A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

    Developer tool Usable Notebooks need to live in git, rerun reproducibly and double as small internal data apps without moving to Streamlit.

    ★ 23k Apache-2.0 Python Active, pushed today
  5. 5
    PyGWalker Kanaries

    PyGWalker: Turn your dataframe into an interactive UI for visual analysis

    Developer tool Usable Data analysts want to explore a DataFrame visually without writing plotting code.

    ★ 16k Apache-2.0 Python Active, pushed 2 months ago
  6. 6
    JupyterLab jupyterlab

    JupyterLab computational environment.

    Developer tool Production-ready Data teams work in notebooks all day and want several notebooks, consoles and files open side by side, with extensions installed from PyPI.

    ★ 15k BSD-3-Clause TypeScript Active, pushed today
  7. 7
    Jupyter Notebook jupyter

    Jupyter Interactive Notebook

    Developer tool Production-ready Analysts or researchers want the familiar single-document notebook interface for exploring data and sharing worked examples.

    ★ 13k BSD-3-Clause Jupyter Notebook Active, pushed 6 days ago
  8. 8
    cuDF NVIDIA

    cuDF - GPU DataFrame Library

    Building block Production-ready You process large tabular data and have NVIDIA GPUs available, especially to speed up existing pandas or Polars code.

    ★ 9.8k Apache-2.0 C++ Active, pushed today

Stars, license and activity come from GitHub and refresh on a rolling hourly schedule. The project's own description is quoted as written.