PIconnect
PIconnect - Connector to the OSISoft PI and PI-AF databases.
Decision gist · record as of 2026-08-14
Yes, if you need Python access to OSIsoft PI or PI-AF systems and have .NET runtime available. The package is stable, permissively licensed, and has low install friction. Maintenance is aging (508 days since last release), so verify compatibility with your PI SDK version and AVEVA's current tooling before committing to production use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires .NET runtime (via pythonnet dependency) and access to an OSIsoft PI or PI-AF server instance.
- Low install friction with a pure-Python wheel.
- Maintenance is aging—last release was 508 days ago, though the repository remains active with recent commits.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing commercial and private use with minimal restrictions. You may use, modify, and distribute the package freely as long as you include the license notice.
last release 2025-03-24 (508 days) · last repo commit 2025-10-07 · 104 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 90,877 downloads/mo, #13,558 on PyPI
Alternatives
Verify before relying
pip install piconnect
import piconnect
with piconnect.PIServer() as server:
data = server.query()- Whether pythonnet's .NET dependency is available on all target platforms (Windows, Linux, macOS).
- Current compatibility with recent OSIsoft PI SDK versions and AVEVA rebranding.
- Performance characteristics for large-scale data extraction or high-frequency queries.
What it is and what it does
PIconnect wraps the OSIsoft PI SDK to let Python developers query and update time-series data stored in PI and PI-AF databases. It mirrors the AF SDK structure while adding Python idioms like context managers for connection handling. The package supports extracting recorded and interpolated values, updating records, and applying server-side summarization and filtering before data retrieval.
The package depends on pandas, numpy, pythonnet, and wrapt. It targets modern Python (3.10–3.13) and is classified as Beta. With 104 GitHub stars and steady maintenance, it serves a niche but established user base in industrial data access workflows.
Use it for
- Extract historical time-series data from PI servers for analysis in pandas DataFrames.
- Build automated reports that query PI-AF databases and aggregate data using server-side filters.
- Update PI tag values programmatically from Python applications or ETL pipelines.
- Retrieve interpolated values at regular intervals for trend analysis or anomaly detection.
- Integrate PI data access into Python-based monitoring or alerting systems.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need Python access to OSIsoft PI or PI-AF systems and have .NET runtime available.
The package is stable, permissively licensed, and has low install friction. Maintenance is aging (508 days since last release), so verify compatibility with your PI SDK version and AVEVA's current tooling before committing to production use.
Install
piconnect on PyPI
Before you install
Low install friction with a pure-Python wheel. Maintenance is aging—last release was 508 days ago, though the repository remains active with recent commits. The package requires pythonnet, which depends on .NET runtime availability on your system.
Requires .NET runtime (via pythonnet dependency) and access to an OSIsoft PI or PI-AF server instance.
License in practice
MIT license is permissive, allowing commercial and private use with minimal restrictions. You may use, modify, and distribute the package freely as long as you include the license notice.
Quickstart
pip install piconnect
import piconnect
with piconnect.PIServer() as server:
data = server.query()Verify before relying
- Whether pythonnet's .NET dependency is available on all target platforms (Windows, Linux, macOS).
- Current compatibility with recent OSIsoft PI SDK versions and AVEVA rebranding.
- Performance characteristics for large-scale data extraction or high-frequency queries.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagespandasnumpypythonnetwrapt |
| Maintenance | Aging 508 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 90,877 / month, #13,558 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Topic :: Database |
Evidence: piconnect-0.12.4-py3-none-any.whl
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