volue-insight-timeseries
Volue Insight API python library
Decision gist · record as of 2026-08-14
Yes, if you have a Volue Insight account and need to work with their timeseries data in Python. The library is actively maintained, has low install friction, supports current Python versions, and carries no known vulnerabilities. The main constraint is that it requires valid credentials and a commercial subscription.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid Volue Insight account with CLIENT_ID and CLIENT_SECRET credentials; Python 3.10 or newer required.
- Low friction installation with pure Python wheels.
- Actively maintained with recent releases; last commit 2026-07-27.
License · maintenance · safety
(unclear)
last release 2026-03-04 (163 days) · last repo commit 2026-07-27 · 15 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 140,611 downloads/mo, #11,267 on PyPI
Alternatives
Verify before relying
pip install volue-insight-timeseries
import volue_insight_timeseries as vit
session = vit.Session(client_id='your_id', client_secret='your_secret')
results = session.search(name='curve_name')
if results:
data = results[0].get_latest(data_to='2030-04-01T04:00Z')
print(data)- Whether the library supports streaming or only batch retrieval of timeseries data
- Performance characteristics for large timeseries datasets or high-frequency polling
- Whether Volue Insight account credentials are required at install time or only at runtime
What it is and what it does
volue-insight-timeseries is a Python client for the Volue Insight API, a commercial timeseries data service. It wraps HTTP requests and provides a session-based interface for searching and retrieving timeseries curves, handling authentication and data parsing. The library depends on requests for HTTP communication, sseclient-py for server-sent events, and pandas for data manipulation.
The package is designed as a replacement for the older wapi-python library and requires a valid Volue Insight account to use. It is tested against Python 3.10, 3.11, 3.12, 3.13, and 3.14. The maintainers recommend pinning to a specific version to avoid breaking changes across releases, following semantic versioning principles.
Use it for
- Retrieve timeseries data for analysis or reporting from Volue Insight API
- Build automated workflows that query curves and export results to pandas DataFrames
- Migrate legacy code from wapi-python to a maintained, modern Python 3.10+ compatible client
- Access energy market data through authenticated API sessions
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you have a Volue Insight account and need to work with their timeseries data in Python.
The library is actively maintained, has low install friction, supports current Python versions, and carries no known vulnerabilities. The main constraint is that it requires valid credentials and a commercial subscription.
Install
volue-insight-timeseries on PyPI
Before you install
Low friction installation with pure Python wheels. Actively maintained with recent releases; last commit 2026-07-27. Requires Python 3.10 or newer.
Requires a valid Volue Insight account with CLIENT_ID and CLIENT_SECRET credentials; Python 3.10 or newer required.
Quickstart
pip install volue-insight-timeseries
import volue_insight_timeseries as vit
session = vit.Session(client_id='your_id', client_secret='your_secret')
results = session.search(name='curve_name')
if results:
data = results[0].get_latest(data_to='2030-04-01T04:00Z')
print(data)Verify before relying
- Whether the library supports streaming or only batch retrieval of timeseries data
- Performance characteristics for large timeseries datasets or high-frequency polling
- Whether Volue Insight account credentials are required at install time or only at runtime
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release <3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesrequestssseclient-pypandas |
| Maintenance | Actively maintained 163 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 140,611 / month, #11,267 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: volue_insight_timeseries-2.3.1-py3-none-any.whl
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