https://github.com/ryanberckmans/est
Track time and predict delivery dates on the command line with Joel Spolsky's evidence-based scheduling
https://github.com/ryanberckmans/est
cli estimate-tasks estimation prediction task-manager time-tracker time-tracking
Last synced: 5 months ago
JSON representation
Track time and predict delivery dates on the command line with Joel Spolsky's evidence-based scheduling
- Host: GitHub
- URL: https://github.com/ryanberckmans/est
- Owner: ryanberckmans
- License: mit
- Created: 2017-11-27T13:02:15.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2022-01-18T09:42:40.000Z (over 4 years ago)
- Last Synced: 2025-05-01T15:43:33.544Z (about 1 year ago)
- Topics: cli, estimate-tasks, estimation, prediction, task-manager, time-tracker, time-tracking
- Language: Go
- Homepage:
- Size: 1.79 MB
- Stars: 5
- Watchers: 3
- Forks: 2
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-starred - ryanberckmans/est - Track time and predict delivery dates on the command line with Joel Spolsky's evidence-based scheduling (cli)
README
# [Screenshots](https://imgur.com/a/cUZiYf1)
# Quickstart
1. Install `est`
```
# `go install` needed for est-prompt executable
go get -u github.com/ryanberckmans/est && go install github.com/ryanberckmans/est/...
```
2. Integrate `est` into your prompt
```
est prompt
```
3. Enable `est` bash completion
```
est bash
```
4. Add your first task
```
est help add
```
5. Consider moving your `~/.estfile.toml` to a location with automatic backup, such as Dropbox or Google Drive. Set this location in `~/.estconfig.toml`.
# About `est`
`est` is a command-line tool to track time spent on tasks and predict the delivery date of future tasks.
In our experience, it's the case that for most time trackers "the juice is not worth the squeeze". `est` tries to improve on this by increasing "the juice" with auto predicted delivery dates, and decreasing "the squeeze" with auto time tracking and nice shell and prompt integration.
Auto predicted delivery dates is based on Joel Spolsky's [evidence-based scheduling](https://www.joelonsoftware.com/2007/10/26/evidence-based-scheduling/).