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quantlib-takt

PyPIInfrastructure

No liveness check has reached it yet; it is registered on PyPI and has been in the index since 10 Oct 2026. How this is checked

quantlib-takt is a BSD-licensed Python package based on QuantLib 1.43 with a faster Monte Carlo core. It targets quantitative finance developers and researchers who need faster European option pricing while preserving bit-for-bit output compatibility with the official wheel.

Inferred · not functionally tested

Open SourceBSD-3-ClauseCLISelf-hosted
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Overview

5 features

Purpose: Speeding up Monte Carlo pricing of financial derivatives in Python.

Inferred · not functionally tested

Audience: quantitative finance developers and researchers

Inferred · not functionally tested

Functions: Unknown

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: BSD-3-Clause · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org. These links do not verify the individual claims.

quantlib-takt is an Other data science & ML project. Inferred · not functionally tested: It focuses on speeding up Monte Carlo pricing of financial derivatives in Python. Inferred · not functionally tested: It is built as an open-source project for quantitative finance developers and researchers. Basis unknown · not verified: quantlib-takt is open source under the BSD-3-Clause license. Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

quantlib-takt first shipped in 2026. Inferred · not functionally tested: Key capabilities include Monte Carlo pricing, european options, and derivative pricing.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Monte Carlo pricing
  • European options
  • Derivative pricing
  • Python package
  • Bit-for-bit output

Topics: Inferred · not functionally tested

Tags
quantlibmonte-carlooption-pricingquantitative-finance

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
BSD-3-Clause
Public signals
HTTPSOpen SourceFree tier

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed10 Oct · 19:17 UTC
    quantlib-takt seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about quantlib-takt

What does quantlib-takt do?
Inferred · not functionally tested: Quantlib-takt focuses on speeding up Monte Carlo pricing of financial derivatives in Python. It is catalogued under Other data science & ML on PulseGate.
Who should use quantlib-takt?
Inferred · not functionally tested: quantlib-takt is an open-source project built for quantitative finance developers and researchers.
Does quantlib-takt have a free plan?
Basis unknown · not verified: Yes — quantlib-takt is open source under the BSD-3-Clause license and free to use.
What platforms does quantlib-takt run on?
Basis unknown · not verified: quantlib-takt runs on the command line. It can also be self-hosted.
Is quantlib-takt still maintained?
Unverified. quantlib-takt has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to quantlib-takt?
Similar projects tracked by PulseGate include DefectRisk, fxtensor-bayesnet, and AutoTinker.DefectRiskfxtensor-bayesnetAutoTinker
When did quantlib-takt launch?
quantlib-takt first shipped in 2026.
Is quantlib-takt open source?
Basis unknown · not verified: Yes — quantlib-takt is open source under the BSD-3-Clause license.

Also in Other data science & ML

Same category — not a similarity match