diff --git a/README.md b/README.md index 5852afd..bbf2684 100644 --- a/README.md +++ b/README.md @@ -2,12 +2,12 @@ ## Locally -+ Run `tasker.sh` to set up the pipenv and run mkdocs, e.g. `tasker.sh serve`. ++ Run `tasker.sh` to set up the pipenv and run zensical, e.g. `tasker.sh serve`. + Or with [`uv`](https://github.com/astral-sh/uv): + `uv venv` to create the environment + `source .venv/bin/activate` to jump into it + `uv pip install -r reqs.txt` to install the requirements - + `mkdocs serve` to launch the server + + `zensical serve` to launch the server ### Generating Python documentation diff --git a/docs/index.md b/docs/index.md index d522196..970d539 100644 --- a/docs/index.md +++ b/docs/index.md @@ -4,110 +4,92 @@ hide: - toc --- - # Nyx Space: Revolutionizing Flight Dynamics {: .tagline}

Blazing fast open-source tools from mission concept to operations, analysis, and automation

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Nyx: Comprehensive Spaceflight Dynamics

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Empowering flight dynamics engineers with open-source software

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Nyx provides flight dynamics engineers with a set of powerful, open-source tools for mission design and orbit determination. From trajectory optimization to orbit estimation, Nyx is built for speed, automation, and scalability. It dramatically reduces simulation time compared to commercial products, and integrates seamlessly into automated workflows across various platforms. Nyx has proven mission-critical reliability, already contributing to the success of three lunar missions.

- Learn more - Math Spec - - - Rust API - Code - - +

Advanced Flight Dynamics

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Complex mission orchestration

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Model entire constellation lifecycles by targeting coupled multi-spacecraft trajectories and automating repeated, multi-phase operational conops sequences. Elevate estimation and environmental fidelity with mission-critical features, including consider covariance filtering to manage unestimated systematic errors, simultaneous ground station tracking bias estimation, and high-fidelity NRLMSISE-00 atmospheric drag modeling.

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Orbit Determination

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Ansys ODTK Replacement (Nyx)

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Mathematically rigorous estimation pipelines featuring extended Kalman filtering, backwards smoothing, and state noise compensation. Designed to drive raw tracking measurements to rapid operational convergence within automated Python workflows, or to execute deterministically as lightweight, high-fidelity flight software onboard the spacecraft.

+ Lunar OD demo +
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Mission Design & Optimization

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Ansys STK Replacement (Nyx)

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High-fidelity multi-body geometry analysis and trajectory optimization engines. Run complex low-thrust orbit raising sequences or multi-island genetic algorithm searches natively in Python at compiled-Rust speeds, compressing mission trade-space exploration loops from weeks to minutes.

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Monte Carlo & Dispersion Analysis

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500 simulation days per minute

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Massive-scale parallel operational-level risk analysis. Leverage concurrent, thread-safe architecture to distribute thousands of high-fidelity orbital runs across cloud-compute instances, translating statistical uncertainty into hard operational constraints, all on prem, for free.

+ James Webb Monte Carlo
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ANISE: Modern rewrite of NASA's SPICE toolkit (TRL-9)

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Landed Firefly Blue Ghost on the Moon in March 2025

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NASA's SPICE toolkit marked a significant advancement in space mission analysis. However, its FORTRAN foundation, complex API, and incompatibility with multi-threaded applications limits its scope. ANISE is a complete rewrite of SPICE, offering a user-friendly API and bindings to Rust, C++, and Python. Designed with thread- and memory-safety as a core feature from the outset, ANISE is a significant step forward in space mission software.

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Validated SPICE Replacement

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ANISE

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A thread-safe, zero-cost alternative to legacy SPICE toolkits, delivering deterministic planetary, coordinate frame, and instrument transformations. Engineered for high-throughput Python concurrent execution and bare-metal flight software, with proven lunar flight heritage, landing Blue Ghost on the Moon in March 2025.

Learn more - Tutorials - Reference - - Explanations - Code - + Tutorials
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Hifitime: Precision Time Management

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Advanced library for time systems conversions (UTC, ET, TAI, ...)

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Space applications require high fidelity time compution, including time systems that ignore the relativistic effects due to the gravity of the Earth. Hifitime is formally verified, thoroughly tested, and works on desktop, web assembly, and bare-metal platforms. Hifitime is arguably the most precise time management library in the world and trusted by institutions that require nanosecond precision.

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Precision Time Management

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Hifitime

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An overflow-safe, high-performance datetime library providing leap-second-correct nanosecond precision across UTC, GPST, and relativistic time-scales. Flight-proven in lunar and deep-space missions, it works on desktop, web assembly, and bare-metal platforms.

Learn more - Python docs - - - - Rust docs - Code - + Python Docs
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Trusted by Industry Leaders

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See who's already benefiting from our tools

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Our tools are trusted and actively used by leading companies in the aerospace and technology sectors. Their commitment to using Nyx, Hifitime, and ANISE is a testament to the reliability, efficiency, and advanced capabilities of our software.

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Trusted by Industry Leaders

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See who's already benefiting from our tools

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Our tools are trusted and actively used by leading companies in the aerospace and technology sectors. Their commitment to using Nyx, Hifitime, and ANISE is a testament to the reliability, efficiency, and advanced capabilities of our software.

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- Firefly Space -
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- K2 Space -
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- Amazon Web Services -
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- CNRS (Femto-ST) -
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- Astranis -
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- Rocketlab USA -
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- Firefly Space -
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- K2 Space -
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- Amazon Web Services -
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- CNRS (Femto-ST) -
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- Astranis -
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- Rocketlab USA -
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Firefly Space
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K2 Space
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Amazon Web Services
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CNRS (Femto-ST)
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Astranis
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Rocketlab USA
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Firefly Space
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K2 Space
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Amazon Web Services
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CNRS (Femto-ST)
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Astranis
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Rocketlab USA

- Contact Form + Contact Form
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diff --git a/mkdocs.yml b/mkdocs.yml index 1209d86..2ffba2b 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -2,7 +2,7 @@ site_name: Nyx Space site_url: https://nyxspace.com edit_uri: "" theme: - name: material + name: zensical features: - navigation.tabs - navigation.tracking diff --git a/reqs.txt b/reqs.txt index 56445ba..a1a1089 100644 --- a/reqs.txt +++ b/reqs.txt @@ -1,6 +1 @@ -mkdocs==1.6.1 -mkdocs-git-revision-date-localized-plugin==1.4.7 -mkdocs-glightbox==0.4.0 -mkdocs-jupyter==0.25.1 -mkdocs-material==9.6.14 -mkdocs-redirects==1.2.2 +zensical==0.0.46 diff --git a/tasker.sh b/tasker.sh index da16e61..a5d7f04 100644 --- a/tasker.sh +++ b/tasker.sh @@ -1,21 +1,18 @@ #!/bin/bash +VENV_DIR=".venv" -# Define a function -setup() { - pip install pipenv - pipenv install -} +# 1. Ensure uv is available +if ! command -v uv &> /dev/null; then + pip install uv +fi -if [ -z "$VIRTUAL_ENV" ]; then - # Not in a VENV - if [ ! -d ".venv" ]; then - # Build the new venv - python3 -m venv .venv - fi - # Jump into it - source .venv/bin/activate +# 2. Force everything inside the venv +if [ ! -d "$VENV_DIR" ]; then + uv venv "$VENV_DIR" fi -setup +# Direct uv to use the venv explicitly for the install +uv pip install --python "$VENV_DIR/bin/python" -r reqs.txt -pipenv run mkdocs $1 +# 3. Execute zensical directly out of the venv bin directory +exec "$VENV_DIR/bin/zensical" "$@"