What is WebHammers
WebHammers is a set of task-focused data Tools that help users work with structured datasets.
Instead of trying to solve every data problem with a single large interface, WebHammers breaks common tasks into clear, purpose-built Tools. Each Tool focuses on a specific outcome, such as cleaning data, filtering Records, validating values, joining datasets, or reducing exposure of sensitive Fields.
WebHammers is designed to be simple to start using. WebHammers jobs run on your machine. Your data stays on your machine during Tool processing. WebHammers servers store Configurations so they can be reused, shared, and managed. A Configuration may include information such as the Field names from your data files. WebHammers also supports Teams, where users can share reusable Configurations with teammates. Reusing Configurations makes recurring work more consistent and helps standardize the team's approach. Configurations are versioned, so you can return to a previous version when needed without losing earlier work.
What kind of work WebHammers supports
WebHammers is well suited for work such as:
- preparing data before an import
- checking data quality before sharing it
- standardizing values across a dataset
- finding duplicate Records
- understanding the shape and quality of a File before deeper analysis
Why WebHammers uses separate Tools
Different data problems call for different Tools. A focused Tool is easier to learn, easier to explain, and easier to run consistently. This approach helps users choose the right workflow without sorting through unrelated features.
Who WebHammers is for
WebHammers is designed for people who work with structured data and want a clearer, more repeatable workflow. That can include operations staff, analysts, accountants, program teams, administrators, and technical users who need practical Tools rather than a full development environment.
Typical workflow
- choose the Tool that matches the task
- provide the input File or dataset
- select or create a Configuration
- start the Run
- save the results to your local folder