numpyencoder
Python JSON encoder for handling Numpy data types.
Decision gist · record as of 2026-08-14
Yes, if you regularly work with NumPy and need to serialize to JSON. The package is lightweight, has no known vulnerabilities, and uses a permissive license. Maintenance is aging (last release 395 days ago), so verify that it handles your specific NumPy types before relying on it for new projects; for established workflows it is a straightforward, low-risk addition.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction installation with a pure-Python wheel.
- Maintenance is aging—last release was 395 days ago—but the repository remains active and the package has been stable since its 2018 initial release.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you may use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2025-07-15 (395 days) · last repo commit 2025-07-15 · 35 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 168,629 downloads/mo, #10,442 on PyPI
Alternatives
Verify before relying
import json
import numpy as np
from numpyencoder import NumpyEncoder
numpy_data = np.array([0, 1, 2, 3])
json.dumps(numpy_data, cls=NumpyEncoder)- Which specific NumPy data types are supported (e.g., all scalar types, structured arrays, datetime64)
- Performance characteristics when encoding large arrays or deeply nested NumPy structures
- Compatibility with NumPy versions beyond the current release cycle
What it is and what it does
numpyencoder is a lightweight JSON encoder that extends Python's standard json module to handle NumPy data types. When you try to serialize a NumPy array or scalar using the standard json.dump() or json.dumps(), you normally get a TypeError; this package provides a NumpyEncoder class that you pass as the cls parameter to transparently convert NumPy objects into JSON-serializable Python types.
The package depends on numpy and packaging. It's designed for workflows where you're working with NumPy arrays or calculations and need to write results to JSON files or transmit them over JSON APIs without writing custom conversion logic. The encoder integrates directly into Python's json module, so you use it by simply specifying cls=NumpyEncoder in your json.dump() call.
Use it for
- Save NumPy computation results (arrays, statistics) to JSON configuration or data files
- Serialize machine learning model outputs or intermediate arrays for logging or API responses
- Convert NumPy-based scientific data to JSON for web APIs or inter-process communication
- Export numerical simulation or analysis results to JSON-compatible formats without manual type conversion
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you regularly work with NumPy and need to serialize to JSON.
The package is lightweight, has no known vulnerabilities, and uses a permissive license. Maintenance is aging (last release 395 days ago), so verify that it handles your specific NumPy types before relying on it for new projects; for established workflows it is a straightforward, low-risk addition.
Install
numpyencoder on PyPI
Before you install
Low friction installation with a pure-Python wheel. Maintenance is aging—last release was 395 days ago—but the repository remains active and the package has been stable since its 2018 initial release.
License in practice
MIT license is permissive; you may use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
import json
import numpy as np
from numpyencoder import NumpyEncoder
numpy_data = np.array([0, 1, 2, 3])
json.dumps(numpy_data, cls=NumpyEncoder)Verify before relying
- Which specific NumPy data types are supported (e.g., all scalar types, structured arrays, datetime64)
- Performance characteristics when encoding large arrays or deeply nested NumPy structures
- Compatibility with NumPy versions beyond the current release cycle
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesnumpypackaging |
| Maintenance | Aging 395 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 168,629 / month, #10,442 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Operating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: numpyencoder-0.3.2-py3-none-any.whl
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See also json-numpy · javaproperties · pyjson5 · json-encoder · msgpack-numpy · jsonconversion · jsonstreams · orjson · jsonseq · standardjson