robocorp-tasks
The automation framework for Python
Decision gist · record as of 2026-08-14
Yes. robocorp-tasks is production-stable, actively maintained, has low install friction, carries no known vulnerabilities, and solves a real problem—replacing ad-hoc automation scripts with a structured, observable framework. It's particularly valuable if you're building multiple automation projects or need detailed execution logging for debugging and compliance. The Apache-2.0 license poses no restrictions.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (supports up to 3.14).
- Low install friction with a pure-wheel distribution.
- The package is actively maintained with a recent commit on 2026-07-24 and carries production-stable status.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions, making it suitable for most automation projects without licensing concerns.
last release 2026-03-13 (154 days) · last repo commit 2026-07-24 · 646 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 335,650 downloads/mo, #7,474 on PyPI
Alternatives
Verify before relying
pip install robocorp-tasks
from robocorp.tasks import task
@task
def my_task():
print('Running automation')
# Run via: python -m robocorp.tasks run <file.py> -t my_task- Whether robocorp-log dependency brings additional system requirements or native bindings that could affect portability.
- Performance characteristics when running many tasks or long-running automations.
- Integration patterns with existing CI/CD systems beyond the command-line interface.
What it is and what it does
robocorp-tasks is a Python framework that standardizes how you write and run automation scripts. Instead of ad-hoc scripts, you decorate functions with @task and run them through a managed runner that handles logging, lifecycle events, and result capture automatically. The framework integrates robocorp-log to provide detailed execution traces—method calls, arguments, variable assignments—and outputs structured logs to HTML for post-execution analysis.
You define tasks as parameterless functions decorated with @task, then invoke them via command line (python -m robocorp.tasks run <path> -t <task_name>). The runner discovers tasks from files matching *task*.py patterns, manages one task per invocation, and produces an output/log.html report. It's designed for teams building multiple automation projects who need consistency, observability, and maintainability across different codebases.
Use it for
- Build repeatable RPA workflows with automatic detailed logging and HTML result reports.
- Standardize task structure across a team's automation projects to reduce ad-hoc script sprawl.
- Debug automation failures by reviewing structured execution logs showing all method calls and state changes.
- Integrate Python automations into CI/CD pipelines with a consistent command-line interface.
- Set up and tear down test environments or data pipelines with lifecycle-managed task execution.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
robocorp-tasks is production-stable, actively maintained, has low install friction, carries no known vulnerabilities, and solves a real problem—replacing ad-hoc automation scripts with a structured, observable framework. It's particularly valuable if you're building multiple automation projects or need detailed execution logging for debugging and compliance. The Apache-2.0 license poses no restrictions.
Install
robocorp-tasks on PyPI
Before you install
Low install friction with a pure-wheel distribution. The package is actively maintained with a recent commit on 2026-07-24 and carries production-stable status. Four runtime dependencies are all common utilities (packaging, psutil, docstring_parser_fork, robocorp-log), suggesting a straightforward integration.
Requires Python 3.10 or later (supports up to 3.14).
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions, making it suitable for most automation projects without licensing concerns.
Quickstart
pip install robocorp-tasks
from robocorp.tasks import task
@task
def my_task():
print('Running automation')
# Run via: python -m robocorp.tasks run <file.py> -t my_taskVerify before relying
- Whether robocorp-log dependency brings additional system requirements or native bindings that could affect portability.
- Performance characteristics when running many tasks or long-running automations.
- Integration patterns with existing CI/CD systems beyond the command-line interface.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesdocstring_parser_forkpackagingpsutilrobocorp-log |
| Maintenance | Actively maintained 154 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 335,650 / month, #7,474 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/StableLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Software Development :: Libraries :: Application Frameworks |
Evidence: robocorp_tasks-4.1.1-py3-none-any.whl
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See also robocorp · robocorp-browser · robocorp-log · robocorp-workitems · robocorp-storage · taskipy · rpaframework · rpaframework-core · go-task-bin · poethepoet