Search Results for "debuggers"
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Showing 5 open source projects for "debuggers"
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Auth0 for AI Agents now in GAConnect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
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Automate contact and company data extractionGenerate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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Errbit
The open source error catcher that's Airbrake API compliant
Errbit is a tool for collecting and managing errors from other applications. It is Airbrake API compliant, so if you are already using Airbrake, you can just point the airbrake gem to your Errbit server. The way Errbit arranges notices into error groups is configurable. By default, Errbit uses the notice's error class, error message, complete backtrace, component (or controller), action and environment name to generate a unique fingerprint for every notice. Notices with identical... -
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Dionea (Dionea Musclipla, meaning Venus Fly Catcher)- an asynchronous thread-aware, peer-aware, and session-aware distributed debugger for Ruby and Python. A notable feature is to trace the sessions of the web applicaions using Rails and TurboGears.
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'C' Language Debug Installation. Installs and Removes Debug and User code at function and line number boundaries. Added features and instructions for debugging the Ruby Interpreter.
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Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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