lifetimes vs WorthSignal
lifetimes
lifetimes.readthedocs.ioWorthSignal
github.comSide by side
| Figure | lifetimes | WorthSignal |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 0 | 1 |
| Spec score · Customer Lifetime Value Software | 7.1 (#31) | 7.9 (#12) |
| License | The GitHub repository identifies the project as MIT licensed. | The repository states that WorthSignal is licensed under AGPL-3.0-or-later and that commercial use is allowed subject to the license conditions. |
| Support | The documentation directs questions, comments, and requests to issues in the Lifetimes repository. | Security reports are reviewed on a best-effort basis and the volunteer project does not promise a formal response-time SLA. |
Plans
In their own words
lifetimes
lifetimes has no write-up on Specifiction yet; its figures are above.
WorthSignal
WorthSignal is a free, open-source toolkit that turns spreadsheet and data files into customer value analyses for marketers. It reads XLSX, XLS, XLSM, CSV and JSON files, suggests column mappings and lets users correct them without changing the uploaded file. Its analyses cover nine areas, including RFM targeting, customer lifetime value, customer equity, acquisition and retention budgets, Markov switching ROI, contractual retention, BG/NBD, BG/BB and complaint recovery. Results can be downloaded as Excel or JSON. In local mode, analysis runs in memory on the user's computer; WorthSignal says uploaded customer data is not intentionally sent to its maintainer or a third-party API. Hosted deployments process files on the chosen server, and that operator is responsible for access controls, logs, retention and privacy obligations. The app requires Python 3.10 or newer and can be launched on Windows or Mac, through terminal instructions for any operating system, or with Docker. Its documented methods are described as classic, deliberately simple models. The project uses the AGPL-3.0-or-later license, with commercial use subject to its conditions.