#jupyter_notebook #augmentation #data_augmentation #data_science #feature_engineering #feature_extraction #machine_learning #tabular_data #time_series

https://github.com/firmai/deltapy

#typescript #electron_app #jira #linux #macos #task_manager #time_tracker

https://github.com/johannesjo/super-productivity

#python #forecasting #forecasting_models #machine_learning #time_series

https://github.com/unit8co/darts

#cplusplus #chart #csv #dataviz #plot #px4 #qt5 #ros #rosbag #time_series #ulog

https://github.com/facontidavide/PlotJuggler

#python #deep_learning #forecasting #pytorch #self_attention #time_series

https://github.com/zhouhaoyi/Informer2020

#python #deep_learning #forecasting #machine_learning #mxnet #neural_networks #pytorch #time_series #time_series_forecasting #time_series_prediction

https://github.com/awslabs/gluon-ts

#java #database #grafana #hacktoberfest #influxdb #iot #low_latency #metrics #monitoring #postgres #postgresql #questdb #simd #sql #time_series #timeseries_database #tsdb

https://github.com/questdb/questdb

#jupyter_notebook #arima #econometrics #forecasting #machine_learning #python #statistics #time_series #timeseries

https://github.com/Nixtla/statsforecast

#jupyter_notebook #articles #artificial_intelligence #data_analysis #data_science #data_visualization #machine_learning #natural_language_processing #python #scraping #time_series

https://github.com/khuyentran1401/Data-science

#python #data_mining #data_science #forecasting #machine_learning #scikit_learn #time_series #time_series_analysis #time_series_classification #time_series_regression

https://github.com/sktime/sktime

#c_lang #bigdata #cloud_native #cluster #connected_vehicles #database #distributed #financial_analysis #industrial_iot #iot #metrics #monitoring #scalability #sql #tdengine #time_series #time_series_database #tsdb

TDengine is a powerful, open-source time-series database designed for handling large amounts of data from IoT devices, connected cars, and industrial IoT. Here are the key benefits It can handle billions of data collection points efficiently, outperforming other time-series databases in data ingestion, querying, and compression.
- **Simplified Solution** Designed for cloud environments, it supports distributed design, sharding, partitioning, and Kubernetes deployment.
- **Ease of Use** Makes data exploration and access efficient through features like super tables and pre-computation.
- **Open Source**: Available under open source licenses with an active developer community.

Using TDengine helps you manage and analyze large-scale time-series data efficiently, making it ideal for various IoT and industrial applications.

https://github.com/taosdata/TDengine

#go #alerting #ccf #metrics #monitoring #nightingale #observability #open_falcon #time_series #tsdb

Nightingale is a free, open-source monitoring tool designed for cloud environments. It combines data collection, visualization, monitoring alerts, and data analysis into one platform. This tool supports multiple time-series databases like Prometheus and VictoriaMetrics, and it has advanced alert management features, including alert rules and notifications. It also offers high-performance visualization with various dashboard templates and supports different data collectors. Using Nightingale, you can manage alerts efficiently, reduce disturbances, and ensure seamless collaboration. This makes it a powerful tool for enterprises to monitor and analyze their systems effectively.

https://github.com/ccfos/nightingale

#python #autogluon #automated_machine_learning #automl #computer_vision #data_science #deep_learning #ensemble_learning #forecasting #gluon #hyperparameter_optimization #machine_learning #natural_language_processing #object_detection #python #pytorch #scikit_learn #structured_data #tabular_data #time_series #transfer_learning

AutoGluon makes machine learning easy and fast. With just a few lines of code, you can train and use high-accuracy models for images, text, time series, and tabular data. This means you can quickly build and deploy powerful machine learning models without needing to write a lot of code. It supports Python 3.8 to 3.11 and works on Linux, MacOS, and Windows, making it convenient for various users. This saves time and effort, allowing you to focus on other parts of your project.

https://github.com/autogluon/autogluon

#go #gnmi #golang #influxdb #json #kafka #logs #metrics #modbus #monitoring #mqtt #opcua #telegraf #time_series #windows_eventlog #windows_management_instrumentation #xpath

Telegraf is a tool that helps collect, process, and send various types of data like metrics, logs, and more. It has over 300 plugins for different tasks such as system monitoring, cloud services, and messaging. You can easily configure it using TOML, and it runs as a standalone binary without extra dependencies. This makes it easy to set up and use. With Telegraf, you can choose plugins to monitor your devices, logs, networks, and more, making it very flexible and powerful for managing your data efficiently.

https://github.com/influxdata/telegraf

#other #awesome #awesome_list #date #edge_cases #email #engineering #falsehoods #geography #identity #internationalization #myths #network #phone_number #phone_numbers #postal_addresses #programming #resources #time #typography

This resource is a curated list of common misconceptions, or "falsehoods," that programmers often believe about various topics such as time, email addresses, names, geography, and more. It helps programmers by highlighting and explaining these false beliefs, which can lead to errors and inefficiencies in coding. By understanding these falsehoods, developers can avoid common pitfalls and create more accurate and robust software. For example, knowing that email addresses can have multiple `@` characters or that time zones are more complex than they seem can prevent bugs and improve the overall quality of the code. This knowledge benefits users by ensuring the software they use is reliable and functions correctly.

https://github.com/kdeldycke/awesome-falsehood

#go #alerting #graphing #hacktoberfest #metrics #monitoring #prometheus #time_series

Prometheus is a powerful tool for monitoring systems and services. It collects data from different sources, lets you query and analyze this data using a special language called PromQL, and can alert you when something goes wrong. Here are the key benefits It stores data in a way that makes it easy to analyze different aspects of your system.
- **Flexible queries** You can install Prometheus using precompiled binaries, Docker images, or by building it from source code.
- **Service discovery** It supports creating graphs and dashboards to visualize your data and send alerts when necessary.

Using Prometheus helps you keep a close eye on your systems, making it easier to identify and fix problems quickly.

https://github.com/prometheus/prometheus

#php #laravel #self_hosted #time_tracker #time_tracking #timetracker #timetracking #timetrackingapp #vue

Solidtime is a free and open-source time tracking app that helps freelancers and agencies manage their time easily. You can track your time, create and manage projects, tasks, and clients, and set billable rates. It also allows you to manage multiple organizations with one account and import data from other time tracking apps. You can either host it yourself or use the cloud version. This tool is beneficial because it simplifies time management, helps you stay organized, and is customizable to fit your needs.

https://github.com/solidtime-io/solidtime

#python #anomaly_detection #automl #benchmarking #ensemble_learning #forecasting #machine_learning #time_series

Merlion is a Python library that helps with time series tasks like forecasting and anomaly detection. It provides an easy-to-use framework for loading data, building models, and evaluating their performance. Merlion supports both univariate and multivariate time series and includes features like AutoML for hyperparameter tuning and model selection, as well as ensemble methods to combine multiple models for better results. This makes it easier for users to quickly develop and test models without needing extensive machine learning knowledge.

https://github.com/salesforce/Merlion

#typescript #charts #data_grid #data_table #date_picker #date_range_picker #hacktoberfest #react #time_picker

MUI X provides advanced React components like Data Grids, Date Pickers, Charts, and Tree Views for building data-rich apps, offering free MIT-licensed tools for basic needs and paid Pro/Premium plans with advanced features like server-side data handling and AI assistance, saving development time with ready-made solutions while allowing customization for any design system[1][2][4].

https://github.com/mui/mui-x

#typescript #expressjs #postgresql #project_management #react #resource_management #rest_api #scheduler #task_management #time_tracking #typescript

Worklenz is a tool that helps teams manage projects better. It offers features like task management, time tracking, and collaboration tools. This means you can easily assign tasks, track how much time is spent on them, and work together with your team. Worklenz also provides analytics to help you understand how your projects are going and make good decisions. It simplifies workflows, reduces errors, and saves time, which can help your business run more smoothly and efficiently[1][2][3].

https://github.com/Worklenz/worklenz