Hacktoberfest 2026: the issues maintainers tagged for October, open and beginner-friendly. Browse Hacktoberfest issues

Automatic serialization/deserialization of Numpy arrays

Open
#13 7 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
45/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Stale
Tech stack
numpy, python
Domain
api, data

Research direction

Read the linked openflexure_microscope/utilities.py around line 25 to understand the existing NumPy array serialization, then inspect this project's specification and serialization paths. Done means the spec defines a sensible NumPy array representation and supports serialization and deserialization, with the treatment of other scientific data types left as a resolved discussion.

Written by the indexing model from the issue text.

Description

critical enhancement

See https://gitlab.com/openflexure/openflexure-microscope-server/-/blob/master/openflexure_microscope/utilities.py#L25

We should introduce into the spec common scientific data types, and sensible ways to (de)serialize them.

Start with Numpy arrays (as we've already done this, see link above).

Discussion: What other scientific data types might be useful?

Dominant language
Python
Stars
19
Forks
2
No merged PRs in 30d

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from labthings/python-labthings

All issues in labthings/python-labthings

Similar issues

More Python issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.