BigQuery automates data prep, analysis, and predictions with built-in AI assistance.
Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
Try Free
Build Agents and Models on One Platform
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Easier logging and tracing of Python functions and class methods.
...Autologging provides two decorators and a custom log level:
"autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName").
"autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class, static, and instance methods, as well as the special __init__ method (by default)
"autologging.TRACE" is a custom log level (lower than logging.DEBUG) that is registered with the Python logging module when autologging is imported
yalimon (Yet another linux monitoring tool) is a python script that runs as a cron job, gathers data from several commands, stores it in a database and then creates graphs out of it. A web interface is used to view the images and to manage the module
Secure File Transfer for Windows with Cerberus by Redwood
Protect and share files over FTP/S, SFTP, HTTPS and SCP with the #1 rated Windows file transfer server.
Cerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
Moodss is a modular monitoring application, composed of a GUI and a daemon, which supports any device or process for which a module can be developed. Complete dashboards with graphical viewers, thresholds, SQL database archiving, ... can be managed.
A wrapper for Python's standard logging module to provide a file-like interface. Allows legacy code that wishes to log to a file (including stdout and stderr) to use the logger facility.
Module to allow for reading lines from a continuously-growing file (such as a system log). Handles log files that get rotated/trucated out from under us. Inspired by the Perl File::Tail module.