Skip to main content

![TEAL Logo](./logos/TEAL_LOGO_FULL.png)

TEAL (Tool for Economic AnaLysis) is RAVEN plugin aimed to contain and deploy economic analysis for RAVEN workflows.

It leverages the Uncertanty Quantification, Probabilistic Risk Assesment, Parameter Optimizzation and Data Anlysis framework [RAVEN](https://github.com/idaholab/raven) to deploy complex economic analyses.

TEAL enables the capability to compute the NPV (Net Present Value), IRR (Internal Rate of Return) and the PI (Profitability Index) with RAVEN. Furthermore, it allows NPV, IRR or PI search, i.e. TEAL will compute a multiplicative value (for example the production cost) so that the NPV, IRR or PI has a desired value. The plugin allows for a generic definition of cash flows, which drivers are provided by RAVEN. Furthermore, TEAL includes flexible options to deal with taxes, inflation, discounting and offers capabilities to compute a combined cash flow for components with different component lives.

Instructions for installing RAVEN plugins (including TEAL) can be found [on RAVEN’s website](https://github.com/idaholab/raven/wiki/Plugins).

Metadata

Release files for teal-ravenframework 0.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for teal-ravenframework 0.6
File Size Uploaded Provenance
teal_ravenframework-0.6.tar.gz 36.4 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for teal-ravenframework 0.6
File Interpreter ABI Platform
teal_ravenframework-0.6-py3-none-any.whl Python 3 none any Details

Total release size: 72.9 kB

Release files / teal_ravenframework-0.6.tar.gz

Download URL teal_ravenframework-0.6.tar.gz
Size 36.4 kB
Tags Source
SHA-256 checksum
How to use checksums
d00acb662f5433d9feb633a71553d5b940bac58de0d5b66e61c675ecfa32b0f4
BLAKE2b-256 checksum
How to use checksums
a2f50decd0b523f5273cfa27ca3883707bf660c9f461a6a80a2a748b8cf6cc49
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.9.20

Release files / teal_ravenframework-0.6-py3-none-any.whl

Download URL teal_ravenframework-0.6-py3-none-any.whl
Size 36.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ca8e0cdd3d3723bf107335cb18158f1f75d313cc1d956bfcca394c693efd5471
BLAKE2b-256 checksum
How to use checksums
83514a3bce19e7d0faa0e07638df7b93150f79995574ee0d94abe810feb66543
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.9.20

Security for teal-ravenframework 0.6

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page