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Software · Education & science

Syntalos

Synchronized data acquisition from diverse sources and flexible experiment control.

  • Completely free
  • Linux
  • Open source

Overview

Features described in its GitHub repository and on its official website: scripting and macros.

Overview written by LicitPro from the documentation published by the authors and the cited sources; we have not tried the resource ourselves.

Excerpts that establish this information
  • “The software also allows user-defined closed-loop interventions via its built-in Python scripting support.” — official website, 10 November 2026

At a glance

Syntalos is completely free: it is open source software, and every feature is available without paying or subscribing.

Its licence (LGPL-3.0+ / GPL-3.0+) is a copyleft open source licence: you may use, study, modify and redistribute it, including commercially; modified versions must keep the same licence.

Strengths

  • Open source code
  • Commercial use allowed

About

Syntalos is a software for timestamp-synchronized parallel data acquisition from diverse data sources and for closed-loop interventions. Among many other things, Syntalos supports: Intan RHD/RHS systems, Open Ephys acquisition boards, and Neuropixels probes via remote SpikeGLX UCLA Miniscopes for calcium imaging in freely moving animals Many industrial and generic cameras Microcontrollers and I/O boards via Firmata or MicroPython Online signal and video processing The modularity of Syntalos allows it to be used for a wide variety of experiments, and it often can be used without any programming skills. Data sources, sinks, and processing blocks can be connected graphically with virtual "wires" to form a data flow graph using drag & drop, to represent how data should be acquired, displayed, or stored. If more flexibility is needed, Syntalos can be extended with Python scripts, live-programmed microcontrollers, or custom modules written in Python or C++. For all data sources, Syntalos ensures timestamps of incoming data are aligned, so the individual pieces of data can be correlated without additional processing or external synchronization. Multiple Syntalos instances on different computers can also be started and stopped in sync over the network. All data and metadata generated from an experiment run is stored in a well-defined, comprehensive structure, making it easy to compare, pool, or share data between experimentalists with different research questions.

Description from Flathub — AppStream (Flathub)

Sources and checks

  • Facts collected from Flathub (credit card, source code, publisher, licence, free status, platforms, commercial use, version) —
  • Last technical check: 8 November 2026
  • Description from Flathub — AppStream (Flathub)

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