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Turn project hours and expenses into a clear customer bill

Connect project work, billing and company accounts for professional services

Keep individual or team hours, project budgets and workload visible across Apple devices.

Develop Python in a project-aware desktop IDE with a debugger, test runner, and optional coding-agent tools.

Project time and expense capture with approvals, budgeting, resource planning, and invoicing.

Plan projects through text-defined work breakdowns, resource allocation, and constraint-based schedules.

A project-based JavaScript and TypeScript IDE with code navigation, refactoring, testing, and debugging tools.

Edit code on macOS with project search, multiple carets, bundles, and version-control actions.

Plan internal or client projects with Gantt schedules, task dependencies, budgets, and worklogs.

A work planner with shared project boards, custom task properties, assignments, calendar, and notes.

Write PHP tests with a concise test-and-expectation syntax and run them from the project command line.

A project timer for freelancers and agencies that organizes work by client and project.

Coordinate project teams with shared Kanban boards, Gantt plans, roadmaps, and workload views.

Connect task and project delivery with program, portfolio, and resource planning.

Organize team projects with shared task lists and optional project tools.

A PMO-oriented portfolio workspace for project intake, prioritization, resources, and scenarios.

Organize projects, tasks, and documents in a focused workspace for creative teams.

A cross-platform IDE with language-aware editing, refactoring, project wizards, and application tooling.

Navigate files in a terminal with tabs, previews, multi-selection, and optional shell integration.

Load project-specific environment variables when entering a directory, then unload them when leaving.

Manage freelance projects and tasks, track time on the work, and turn finished effort into invoice lines.

Manage Python project dependencies, virtual environments, and package metadata from `pyproject.toml`.

Run a Python project's configured test and lint commands in isolated environment matrices.

Choose a file-focused editor or add project-wide build and debug tools.