Search Results for "logging"
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Showing 19 open source projects for "logging"
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1
whylogs
The open standard for data logging
whylogs is an open-source library for logging any kind of data. With whylogs, users are able to generate summaries of their datasets (called whylogs profiles) which they can use to track changes in their dataset Create data constraints to know whether their data looks the way it should. Quickly visualize key summary statistics about their datasets. whylogs profiles are the core of the whylogs library. -
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SleepFM-Clinical
Improve human sleep through scientifically
...Rather than simply playing static white noise or ambient tracks, it uses a closed-loop, frequency-modulated framework that responds to user-specific sleep patterns and physiological signals to tailor sound in ways that can enhance sleep onset and depth. The clinical release includes additional features for controlled experimentation, such as logging capabilities, adjustable parameter sets, and protocols suitable for sleep studies and therapeutic settings. It also integrates tools for clinicians to configure sessions, annotate events, and potentially link with biofeedback data, enabling a more nuanced understanding of sound’s effect on sleep architecture over time. -
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TensorBoardX
tensorboard for pytorch (and chainer, mxnet, numpy, etc.)
...The class updates the file contents asynchronously. This allows a training program to call methods to add data to the file directly from the training loop, without slowing down training. TensorboardX now supports logging directly to Comet. Comet is a free cloud based solution that allows you to automatically track, compare and explain your experiments. It adds a lot of functionality on top of tensorboard such as dataset management, diffing experiments, seeing the code that generated the results and more. Create special chart by collecting charts tags in ‘scalars’. ... -
4
PyTorch Forecasting
Time series forecasting with PyTorch
...A time series dataset class that abstracts handling variable transformations, missing values, randomized subsampling, multiple history lengths, etc. A base model class that provides basic training of time series models along with logging in tensorboard and generic visualizations such actual vs predictions and dependency plots. Multiple neural network architectures for timeseries forecasting that have been enhanced for real-world deployment and come with in-built interpretation capabilities. The package is built on PyTorch Lightning to allow training on CPUs, single and multiple GPUs out-of-the-box. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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5
FinRobot
An Open-Source AI Agent Platform for Financial Analysis using LLMs
FinRobot is an open-source AI framework focused on automating financial data workflows by combining data ingestion, feature engineering, model training, and automated decision-making pipelines tailored for quantitative finance applications. It provides developers and quants with structured modules to fetch market data, process time series, generate technical indicators, and construct features appropriate for machine learning models, while also supporting backtesting and evaluation metrics to... -
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Blueprint MCP
Diagram generation for understanding codebases and system architecture
Blueprint MCP is a modular control plane designed for managing and orchestrating multiple game-server clusters in real time, giving operators fine-grained control over scaling, configuration, and deployment workflows across distributed infrastructure. It provides a central management REST API and dashboard where teams can view cluster health, adjust instance fleets, set auto-scaling policies, and monitor usage metrics in a unified interface. Blueprint-MCP also supports templated server... -
7
UwUConverter
cross-platform file conversion tool with right-click file menu support
...On Windows, UwUConverter integrates directly into File Explorer, allowing supported files to be converted or compressed from the right-click menu. Folder batch conversions open a graphical interface with category selection, output format, destination mode, progress tracking, cancellation, and optional logging. Linux support is also available, with integration for Dolphin, Nautilus, Nemo, and Caja. Linux support is currently considered experimental while compatibility is tested across more distributions and desktop environments. UwUConverter supports a wide range of formats, including: Video: MP4, MKV, MOV, AVI, WEBM Audio: MP3, WAV, FLAC, OGG, OPUS Images: PNG, JPG, JPEG, WEBP, ICO, TIF, TIFF, RAW Documents: PDF, DOCX, ODT, TXT Spreadsheets: XLSX, XLS, XLSB, XLSM, ODS, CSV, TSV -
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autofbpost
Semi automate Facebook publishing posts task to groups
Semi automate Facebook publishing posts task to groups 📦Requirements - Windows or Linux operating system - Chromium based browser (Google Chrome, Microsoft Edge, Brave, Opera) - Stable Internet connection 🚀Installation Simply download the executable No additional installation or dependencies are required. Just download and run the executable file 🎮Usage - Windows: Double-click the `.exe` file or run it from the command line - Linux: Make it executable (`chmod +x autofbpost`)... -
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...File Update Management Detects new or modified files in the source location. Updates only the changed files at the destination, reducing transfer time and bandwidth usage. CSV-Based Logging: Generates detailed execution logs in CSV format. Benefits: Reduces manual effort in file deployment and updates. Provides traceability through detailed CSV logs.
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Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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10
alpha_vantage
A python wrapper for Alpha Vantage API for financial data.
Alpha Vantage delivers a free API for real time financial data and most used finance indicators in a simple json or pandas format. This module implements a python interface to the free API provided by Alpha Vantage. You can have a look at all the API calls available in their API documentation. For code-less access to the APIs, you may also consider the official Google Sheet Add-on or the Microsoft Excel Add-on by Alpha Vantage. To get data from the API, simply import the library and call the... -
11
Kalshi-Quant-TeleBot
Kalshi Advanced Quantitative Trading Bot is an enterprise-grade
Kalshi Advanced Quantitative Trading Bot is an enterprise-grade automated trading system designed for the Kalshi event-based prediction market. Built with cutting-edge quantitative algorithms and professional risk management, it provides institutional-quality trading capabilities with user-friendly control The Kalshi Advanced Quantitative Trading Bot is a professional-grade automated trading system designed specifically for event-based markets on the Kalshi platform. This bot leverages... -
12
Mara Pipelines
A lightweight opinionated ETL framework, halfway between plain scripts
...No in-app data processing: command line tools as the main tool for interacting with databases and data. Single machine pipeline execution based on Python's multiprocessing. No need for distributed task queues. Easy debugging and output logging. Cost based priority queues: nodes with higher cost (based on recorded run times) are run first. -
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Activity Tracker
A windows application for activity tracking and logging
This windows application tracks which window is in focus and saves in a log file every second. Cool right? -
14
TensorWatch
Debugging, monitoring and visualization for Python Machine Learning
...The tool treats most data interactions as streams, allowing flexible routing, storage, and visualization of metrics generated during model training. A distinctive capability is its “lazy logging” mode, which lets users query live training processes without pre-instrumenting all metrics ahead of time. TensorWatch supports multiple chart types and can be extended with custom visualizers and dashboards, making it highly adaptable for research workflows. Overall, the project acts as a powerful observability layer for ML experimentation, helping practitioners diagnose model behavior and compare runs more efficiently. -
15
ulogme
Automatically collect and visualize usage statistics in Ubuntu/OSX
ulogme is a local activity-tracking tool for visualizing how computer time is spent throughout the day. It records the title of the active window and the frequency of key presses, then turns those logs into interactive HTML timelines. Users can add notes to specific moments or summarize an entire day for additional context. Everything is stored and processed locally rather than uploaded to a remote service. Its browser interface is built with HTML, CSS, JavaScript, and D3 and supports both... -
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Graphical or terminal-based stopwatch with many user-named lap timers. Save / restore timing results via CSV file; timer "runs" even when application isn't running! Supports lap timer label templates. Hildonized (i.e., also runs on Maemo / Nokia 770).
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A web-based human event (links/books read, songs played, etc.) logging tool focused on rich bibliographic support and library (as in books-on-shelves) systems integration.
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Retrieve statistics from SNMP-aware devices, store them in a database and graphically display them for monitoring and notification purposes.
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19
A tool to visualize interactively huge amounts of eventdata. Uses an innovative hierarchical zoomlens scaling from quarters down to 50 ms.
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