About
Git Cola is a sleek and powerful graphical user interface for Git. Git Cola is free software and written in Python (v2 + v3). The editor used by Ctrl-e is configured from the Preferences screen. The environment variable $VISUAL is consulted when no editor has been configured. Configuring your editor to gvim -f -p will open multiple tabs when editing files. gvim -f -o uses splits. When you select a line in the grep screen and press any of Enter, Ctrl-e, or the Edit button, you are taken to that exact line. Git Cola has many useful keyboard shortcuts. Many of Git Cola’s editors understand vim-style hotkeys, eg. {h,j,k,l} for navigating in the diff, status, grep, and file browser widgets. The Git Cola interface is composed of various cooperating tools. Double-clicking a tool opens it in its own subwindow. Dragging it around moves and places it within the main window. Tools can be hidden and rearranged however you like. Git Cola carefully remembers your window layout and restores it.
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About
IDLE is Python’s Integrated Development and Learning Environment.
IDLE has the following features:
- coded in 100% pure Python, using the tkinter GUI toolkit
- cross-platform: works mostly the same on Windows, Unix, and macOS
- Python shell window (interactive interpreter) with colorizing of code input, output, and error messages
- multi-window text editor with multiple undo, Python colorizing, smart indent, call tips, auto completion, and other features
- search within any window, replace within editor windows, and search through multiple files (grep)
- debugger with persistent breakpoints, stepping, and viewing of global and local namespaces
- configuration, browsers, and other dialogs
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About
dbt helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, data analysts and data engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, lean on detailed metadata to troubleshoot and optimize pipelines, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow.
Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to improve data quality and trust as well as drive efficiencies and reduce costs as they deliver AI-ready data across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence.
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About
edays is the world's smartest absence, leave and time management software. With one configurable system, you're able to provide a better absence experience for employees and managers.
The platform is an easy-to-use, cloud-based web application and mobile app for managing, tracking & reporting employee holidays and absences.
As a best-of-breed software, edays is highly configurable and offers a range of different customisable options, such as the ability to offer holidays in a mix of hours and days, or to offer different accrual entitlements based on a number of factors.
With a range of great features including group calendars, customisable sickness journeys and absence reporting, edays also integrates well with popular payroll and HR systems.
We serve any business of any size anywhere in the world. From large 2,000+ employees through to mid-size businesses in all industries - with brands like Coca-Cola, Sony and Monster Energy.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Developers wanting to manage version control operations and commits with a graphical user interface
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Audience
Python developers
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Audience
SQL users looking for a ETL solution to engineer data transformations
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Audience
Organisations with 50+ employees
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
$100 per user/ month
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationGit Cola
git-cola.github.io
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Company InformationPython
Founded: 1990
docs.python.org/3/library/idle.html
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Company Informationdbt Labs
Founded: 2016
United States
www.getdbt.com
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Company Informatione-days Absence Management
Founded: 2005
United Kingdom
www.e-days.com
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categoriesdbt powers the transformation layer of modern data pipelines. Once data has been ingested into a warehouse or lakehouse, dbt enables teams to clean, model, and document it so it’s ready for analytics and AI. With dbt, teams can: - Transform raw data at scale with SQL and Jinja. - Orchestrate pipelines with built-in dependency management and scheduling. - Ensure trust with automated testing and continuous integration. - Visualize lineage across models and columns for faster impact analysis. By embedding software engineering practices into pipeline development, dbt helps data teams build reliable, production-grade pipelines to accelerate time to insight, and deliver AI-ready data. dbt brings rigor and scalability to data preparation by enabling teams to clean, transform, and structure raw data directly in the warehouse. Instead of siloed spreadsheets or manual workflows, dbt uses SQL and software engineering best practices to make data preparation reliable, repeatable, and collaborative. With dbt, teams can: - Clean and standardize data with reusable, version-controlled models. - Apply business logic consistently across all datasets. - Validate outputs through automated tests before data is exposed to analysts. - Document and share context so every prepared dataset comes with lineage and definitions. By treating data preparation as code, dbt ensures that prepared datasets aren’t just quick fixes — they’re trusted, governed, and production-ready assets that scale with the business. dbt modernizes the “T” in ETL: Transformation. Instead of relying on legacy pipelines or black-box transformations, dbt empowers data teams to build, test, and document transformations directly inside the data warehouse or lakehouse. With dbt, teams can: - Transform raw data into analytics-ready models using SQL and Jinja. - Ensure reliability with built-in testing, version control, and CI/CD. - Standardize workflows across teams with reusable models and shared documentation. - Leverage modern platforms like Snowflake, Databricks, BigQuery, and Redshift for scalable transformation. By focusing on the transformation layer, dbt helps organizations shorten pipeline development cycles, reduce data debt, and deliver trusted insights faster — complementing ingestion and loading tools in a modern ELT stack. |
Categories |
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Big Data Features
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Lineage Features
Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View
Data Preparation Features
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
ETL Features
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
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Absence Management Features
Analytics/Reporting
Approval Process Control
Attendance Tracking
Calendar Management
Compliance Management
Employee Database
Employee Scheduling
Leave Policy Management
Notifications/Alerts
Overtime Management
Role-Based Permissions
Time Off Management
Timesheet Management
Attendance Tracking Features
Absence Management
Calendar Management
Employee Scheduling
Employee Time Clock
FMLA Tracking
Overtime Tracking
Reporting/Analytics
Self Service Portal
Time Tracking
Timesheets
Vacation / Leave Tracking
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Integrations
Azure Marketplace
Cake AI
Cargo
Cornerstone HR
Databricks Data Intelligence Platform
Datakin
Decube
Flyte
Gmail
Grouparoo
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Integrations
Azure Marketplace
Cake AI
Cargo
Cornerstone HR
Databricks Data Intelligence Platform
Datakin
Decube
Flyte
Gmail
Grouparoo
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Integrations
Azure Marketplace
Cake AI
Cargo
Cornerstone HR
Databricks Data Intelligence Platform
Datakin
Decube
Flyte
Gmail
Grouparoo
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Integrations
Azure Marketplace
Cake AI
Cargo
Cornerstone HR
Databricks Data Intelligence Platform
Datakin
Decube
Flyte
Gmail
Grouparoo
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