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Description
Unlike most monitors that simply notify you of a job's ping, RunVouch goes a step further by confirming whether the task was actually completed. It meticulously tracks vital information such as the start and end times, costs, token usage, tool calls, and ensures that the necessary evidence of a run's completion is present, alerting users if anything is amiss. This system can identify various issues, including a run that never started, stalled executions, non-zero exits, infinite retry loops, runs exceeding their cost limits, and even those elusive tasks that appear to have succeeded while their outputs were never generated.
Each completed run is hashed into a leaf, with daily leaves combined into a Merkle root that connects to the previous day and is timestamped on the Bitcoin blockchain using OpenTimestamps, ensuring that reports are immutable and cannot be altered by anyone, including the developers themselves. This allows anyone to verify a sealed run through their browser without needing an account, and they can even modify a field to see the hashes become invalid.
The client is a standalone Python file that operates without any dependencies, wrapping any command and designed to fail open, thereby ensuring that job monitoring remains intact. It supports various platforms such as Claude Code, OpenClaw, n8n, GitHub Actions, cron, systemd, Slack, and MCP. With a generous offer of free usage for up to 20 agents, it is available under the MIT license and can be self-hosted, making it a flexible solution for diverse monitoring needs. Additionally, its ability to integrate seamlessly with existing tools enhances its practicality for users looking for reliable job execution verification.
Description
The ROOT data analysis framework is widely utilized in High Energy Physics (HEP) and features its own file output format (.root). It seamlessly integrates with software developed in C++, while for Python users, there is an interface called pyROOT. However, pyROOT has compatibility issues with python3.4. To address this, broot is a compact library designed to transform data stored in Python's numpy ndarrays into ROOT files, structuring them with a branch for each array. This library aims to offer a standardized approach for exporting Python numpy data structures into ROOT files. Furthermore, it is designed to be portable and compatible with both Python2 and Python3, as well as ROOT versions 5 and 6, without necessitating changes to the ROOT components themselves—only a standard installation is needed. Users should find that installing the library requires minimal effort, as they only need to compile the library once or choose to install it as a Python package, making it a convenient tool for data analysis. Additionally, this ease of use encourages more researchers to adopt ROOT in their workflows.
API Access
Has API
API Access
Has API
Screenshots View All
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Integrations
Axis LMS
Pricing Details
$9/month
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
RunVouch
Founded
2026
Country
Netherlands
Website
runvouch.com
Vendor Details
Company Name
broot
Website
pypi.org/project/broot/
