Search Results for "tables"
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Showing 20 open source projects for "tables"
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Restaurant Management System
Restaurant Management System written in Python using Tkinter
...Restaurant Management System (will be referred as RMS from now on) offers the following to tackle the problem. Store the configuration of the given restaurant and its menu to easily handle reservations and orders. Create and store orders for the requested tables. Generate and save bills when requested. Storing the restaurant configuration: configure facility name, table/seat counts, and menu with the ability to modify them in the future. Users will have the ability to modify the data through the “Configure Facility/Menu” section of the app. Create bills for the chef (backend): The application will first send the order to the kitchen for cooks to see, prepare, and fulfill the order. -
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Metacrafter
Metadata and data identification tool and Python library
Python command line tool and Python engine to label table fields and fields in data files. It could help to find meaningful data in your tables and data files or to find Personal identifiable information (PII). Metacrafter is a rule-based tool that helps to label fields of the tables in databases. It scans table and finds person names, surnames, midnames, PII data, basic identifiers like UUID/GUID. These rules written as .yaml files and could be easily extended. -
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NVIDIA Merlin
Library providing end-to-end GPU-accelerated recommender systems
...Accelerate your existing training pipelines in TensorFlow, PyTorch, or FastAI by leveraging optimized, custom-built data loaders. Scale large deep learning recommender models by distributing large embedding tables that exceed available GPU and CPU memory. Deploy data transformations and trained models to production with only a few lines of code. -
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Gretel Synthetics
Synthetic data generators for structured and unstructured text
...Ensure data accuracy and privacy confidently with expert-grade reports. Need to synthesize one or multiple data types? We have you covered. Even take advantage or multimodal data generation. Synthesize and transform multiple tables or entire relational databases. Mitigate GDPR and CCPA risks, and promote safe data access. Accelerate CI/CD workflows, performance testing, and staging. Augment AI training data, including minority classes and unique edge cases. Amaze prospects with personalized product experiences. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Elementary
Open-source data observability for analytics engineers
...Monitoring of data quality metrics, freshness, volume and schema changes, including anomaly detection. Elementary data monitors are configured and executed like native tests in dbt your project. Uploading and modeling of dbt artifacts, run and test results to tables as part of your runs. Get informative notifications on data issues, schema changes, models and tests failures. Inspect upstream and downstream dependencies to understand impact and root cause of data issues. -
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SDGym
Benchmarking synthetic data generation methods
The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques – classical statistics, deep learning and more! The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking. You also customize the process to include your own work. Select any of the publicly available datasets from the... -
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airda
airda(Air Data Agent
airda(Air Data Agent) is a multi-smart body for data analysis, capable of understanding data development and data analysis needs, understanding data, generating data-oriented queries, data visualization, machine learning and other tasks of SQL and Python codes. -
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AWS SDK for pandas
Easy integration with Athena, Glue, Redshift, Timestream, Neptune
aws-sdk-pandas (formerly AWS Data Wrangler) bridges pandas with the AWS analytics stack so DataFrames flow seamlessly to and from cloud services. With a few lines of code, you can read from and write to Amazon S3 in Parquet/CSV/JSON/ORC, register tables in the AWS Glue Data Catalog, and query with Amazon Athena directly into pandas. The library abstracts efficient patterns like partitioning, compression, and vectorized I/O so you get performant data lake operations without hand-rolling boilerplate. It also supports Redshift, OpenSearch, and other services, enabling ETL tasks that blend SQL engines and Python transformations. ... -
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data-diff
Efficiently diff rows across two different databases
...In modern data platforms, data is constantly moving between systems, and at the modern data volume and complexity, systems go out of sync all the time. Until now, there has not been any tooling to ensure that when the data is correctly copied. Replicating data at scale, across hundreds of tables, with low latency and at a reasonable infrastructure cost is a hard problem, and most data teams we’ve talked to, have faced data quality issues in their replication processes. The hard truth is that the quality of the replication is the quality of the data. Since copying entire datasets in batch is often infeasible at the modern data scale, businesses rely on the Change Data Capture (CDC) approach of replicating data using a continuous stream of updates. -
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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QUAST
Quality Assessment Tool for Genome Assemblies
...QUAST computes several well-known metrics, including contig accuracy, the number of genes discovered, N50, and others, as well as introducing new ones, like NA50 (see details in the paper and manual). A comprehensive analysis results in summary tables (in plain text, tab-separated, and LaTeX formats) and colorful plots. The tool also produces web-based reports condensing all information in one easy-to-navigate file. QUAST and its three follow-up papers (MetaQUAST, Icarus, QUAST-LG) papers were published in Bioinformatics; the last paper (WebQUAST) is out in Nucl Acid Research. -
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BoolHub
A fully functional personal information management software.
[Native application]: Developed with QT, pure native application, faster response; Cloud synchronization: Data is recorded in the cloud, and the data is no longer lost. Data synchronization is unlimited, everything is in your control; [Rich note types]: Support rich text, Markdown, code, tables, drawings, flowcharts and other note formats; [Manage your customers]: A customer relationship management system that supports team collaboration to grasp every lead and every customer; [Manage daily affairs]: Manage your affairs in an orderly manner through the feature-rich to-do list view; [Free without function limit]: There is no limit to the software functions, free to use, we are just to make a friend; [Different moods and different themes]: Notes and to-do lists, support a variety of exquisite themes, do whatever you want, change it if you want; [More application scenarios]: Memo view, timeline view, passwordbook view, statistics view to meet your different needs. -
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MCPower
MCPower — simple Monte Carlo power analysis for complex models
...It guides users through the full workflow across three tabs: Model setup (formula input with live parsing, CSV data upload with auto-detected variable types, effect size sliders, and correlation editing), Analysis configuration (find power for a given sample size or find the minimum sample size for a target power, with multiple testing correction and scenario analysis), and Results (interactive charts, exportable tables, and auto-generated Python replication scripts). Supports both standard linear models and mixed-effects models. Additional features include analysis history, configurable scenarios, and built-in documentation. -
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TOMUSS
TOMUSS: The Online Multi User Simple Spreadsheet
TOMUSS is an interactive web application (groupware) allowing multiple concurrent users to edit data tables. Its primary goal is the management of students grades. -
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Autoplot
Autoplot is an interactive browser for data on the web
Autoplot is an interactive browser for data on the web. Give Autoplot a URL or local file name and it creates a sensible plot of the data. Autoplot allows you to interactively browse data stored in ascii, .cdf, netcdf, and many other formats. Autoplot's source has been moved to GitHub. Thanks to SourceForge for many years of hosting! -
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Bowtie
Create a dashboard with python!
...No Javascript required, you build your dashboard in pure Python. Easy to deploy so you can share results with others. Ships with many useful widgets including charts, tables, dropdown menus, sliders, and markdown. All widgets come equipped with events and commands for interaction. Compiles a single Javascript bundle speeding up load times and removes CDN dependencies. -
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Platform Course
Opensource framework for creation bussiness web applications
Platform Course 5.0.0 is opensource framework for easy development of original solutions for unique business process. Main advantages: cross-domain auth, LDAP integration, cross-browser GWT-based UI, big tables handling, chart and geo maps, input forms on XForms. Tested with MSSQL, PostgreSQL and Oracle. Actual SVN Repository for this product is located at https://share.curs.ru/svn/showcase/branches/stable/ Login: reader Password: reader If you wish to know further details or participate in platform development, fell free to contact us via info@curs.ru Wiki page of the Platform: https://share.curs.ru/wiki -
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TabZilla
Ad-hoc data replication for Oracle database.
#FreeUkraine #SaveUkraine #StopRussia #StopPutin #CrimeaIsUkraine #UnitedForUkraine #RussiaInvadedUkraine UI written using wxPython. Allows you, to copy tables between Oracle databases using drag-n-drop interface. AKA filezilla, but for tables, not files. -
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windEPAF
Import and Export EPAFs to Ellucian/SunGard Banner
...Despite what your sales rep told you, doing EPAFs in Excel and then importing them into Banner is no easy task. Each EPAF can have a variable number of rows in variable number of tables and transaction numbers must be carefully kept in sync among all of these rows and records. WindEPAF takes this difficult and error-prone process and makes it easy. -
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Data mines the voting record and other actions of Members of the UK Parliament. Extracts information from the parliament website and stores it in a database. Provides tools to analyse the information, producing statistics and tables about the MPs.
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Python module and command line utility that analyzes XML output from the program pdftohtml in order to extract tables from PDF files. Outputs CSV.
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