civis
Civis API Python Client
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. Install it if you need to integrate Python workflows with Civis Platform. The main prerequisite is a valid Civis API key and Python >= 3.11; soft dependencies (pandas, scikit-learn) are only needed for specific features, not for basic API access.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires CIVIS_API_KEY environment variable set with a valid Civis Platform API key (expires every 30 days and must be renewed).
- Requires Python >= 3.11.
- Low install friction with a pure-Python wheel distribution.
License · maintenance · safety
BSD-3-Clause (permissive) — BSD-3-Clause is permissive; you may use, modify, and distribute this package with minimal restrictions, provided you include the license notice.
last release 2026-08-11 (3 days) · last repo commit 2026-08-13 · 35 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 196,225 downloads/mo, #9,792 on PyPI
Alternatives
Verify before relying
pip install civis
import civis
client = civis.APIClient()
print(client.users.get_me()['username'])
# Or use high-level wrappers:
df = civis.io.read_civis(table="my_schema.my_table", database="database", return_as="pandas")- Whether soft dependencies (pandas, polars, scikit-learn, feather-format, civisml-extensions, glmnet, muffnn) are required for specific workflows or truly optional.
- Performance characteristics and rate-limiting behavior when making large numbers of API requests.
- Support for authentication methods beyond environment variable (e.g., config files, credential managers).
What it is and what it does
Civis is a Python client for the Civis Platform, a cloud-based data and analytics service. It bridges programmatic Python workflows with Civis's hosted infrastructure, allowing analysts and developers to read/write data, train machine learning models, and orchestrate jobs without leaving Python. The package provides both convenience wrappers (e.g., civis.io.read_civis) for common tasks and a low-level APIClient for direct API calls.
The client depends on click, cloudpickle, joblib, jsonref, jsonschema, PyYAML, requests, tenacity, and typing-extensions. It has soft dependencies on pandas, polars, scikit-learn, and feather-format for advanced features like dataframe I/O and model export. Authentication requires a Civis Platform API key stored in the CIVIS_API_KEY environment variable.
Use it for
- Read data from Civis-hosted databases into a local pandas or polars DataFrame for analysis.
- Write analysis results back to Civis databases or data warehouses from Python scripts.
- Train and deploy machine learning models on Civis Platform infrastructure using the ml namespace.
- Automate data workflows and job orchestration by calling Civis API methods directly.
- Manage Civis Platform resources (databases, tables, users) programmatically from Python applications.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. Install it if you need to integrate Python workflows with Civis Platform. The main prerequisite is a valid Civis API key and Python >= 3.11; soft dependencies (pandas, scikit-learn) are only needed for specific features, not for basic API access.
Install
civis on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Active maintenance with a release 3 days ago; the project has been stable since 2016 and supports current Python versions (3.11–3.14). Nine runtime dependencies are all standard, well-maintained libraries.
Requires CIVIS_API_KEY environment variable set with a valid Civis Platform API key (expires every 30 days and must be renewed). Requires Python >= 3.11.
License in practice
BSD-3-Clause is permissive; you may use, modify, and distribute this package with minimal restrictions, provided you include the license notice.
Quickstart
pip install civis
import civis
client = civis.APIClient()
print(client.users.get_me()['username'])
# Or use high-level wrappers:
df = civis.io.read_civis(table="my_schema.my_table", database="database", return_as="pandas")Verify before relying
- Whether soft dependencies (pandas, polars, scikit-learn, feather-format, civisml-extensions, glmnet, muffnn) are required for specific workflows or truly optional.
- Performance characteristics and rate-limiting behavior when making large numbers of API requests.
- Support for authentication methods beyond environment variable (e.g., config files, credential managers).
Package facts
| License | BSD-3-Clause permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 9 packagesclickcloudpicklejoblibjsonrefjsonschemaPyYAMLrequeststenacitytyping-extensions |
| Maintenance | Actively maintained 3 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 196,225 / month, #9,792 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 :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: civis-2.9.3-py3-none-any.whl
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