kumo-api
RESTful datamodels for Kumo AI
Decision gist · record as of 2026-08-14
Yes, if you need direct control over Kumo AI API resource construction or are building a custom integration. The low install friction, permissive MIT license, and active maintenance make it a safe dependency. However, most users should prefer the kumoai SDK for a higher-level experience. No security vulnerabilities are known.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low friction install with a pure-wheel distribution.
- Active maintenance as of 59 days ago.
License · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions, making it suitable for commercial and open-source projects alike.
last release 2026-06-16 (59 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 96,931 downloads/mo, #13,183 on PyPI
Alternatives
Verify before relying
pip install kumo-api
from kumo_api import <resource_class>
# Use Pydantic dataclasses to construct and validate API payloads- What specific resource schemas and API endpoints are available in version 0.92.0
- Whether kumo-api can be used standalone or requires the kumoai SDK for practical use
- Performance characteristics when handling large datasets with numpy and pandas dependencies
What it is and what it does
kumo-api is a low-level library that provides Pydantic-based dataclass definitions for Kumo AI's RESTful API resources. It acts as a schema layer for HTTP clients to construct and validate payloads when communicating with Kumo's cloud services. The library bundles four runtime dependencies—pydantic for data validation, protobuf for serialization, numpy and pandas for numerical and tabular data handling—to support structured API interactions.
The package is positioned as a foundational layer; the documentation recommends installing the higher-level kumoai SDK for a smoother user experience, suggesting that kumo-api alone is primarily useful for developers who need direct control over API resource construction or who are building custom integrations. It supports Python 3.10 through 3.14 and carries no known security vulnerabilities.
Use it for
- Building custom HTTP clients to interact with Kumo AI cloud services using validated datamodels
- Integrating Kumo API resources into data pipeline tools that work with numpy and pandas
- Prototyping or testing Kumo API interactions without the full kumoai SDK overhead
- Serializing and deserializing Kumo API payloads using protobuf for efficient data transfer
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need direct control over Kumo AI API resource construction or are building a custom integration.
The low install friction, permissive MIT license, and active maintenance make it a safe dependency. However, most users should prefer the kumoai SDK for a higher-level experience. No security vulnerabilities are known.
Install
kumo-api on PyPI
Before you install
Low friction install with a pure-wheel distribution. Active maintenance as of 59 days ago. Depends on widely-used libraries: pydantic, protobuf, numpy, and pandas.
Requires Python 3.10 or later.
License in practice
MIT license permits free use, modification, and distribution with minimal restrictions, making it suitable for commercial and open-source projects alike.
Quickstart
pip install kumo-api
from kumo_api import <resource_class>
# Use Pydantic dataclasses to construct and validate API payloadsVerify before relying
- What specific resource schemas and API endpoints are available in version 0.92.0
- Whether kumo-api can be used standalone or requires the kumoai SDK for practical use
- Performance characteristics when handling large datasets with numpy and pandas dependencies
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagespydanticprotobufnumpypandas |
| Maintenance | Actively maintained 59 days since the last release |
| First released | |
| Downloads | 96,931 / month, #13,183 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableProgramming Language :: PythonProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: kumo_api-0.92.0-py3-none-any.whl
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See also kumoai · pyactiveresource · dataclasses-jsonschema · ibm-quantum-schemas · py-avro-schema · jsonschema-pydantic-converter · restfly · jsonschema-pydantic · scim2-models · hologram