Nicholaus (Nico) Halecky nehalecky

strata

strata is a composable, cross-platform developer machine management framework — declarative layers from dotfiles to applications — that agentic tooling makes sustainable for anyone to maintain what previously required a team.

Pronounced STRAY-tah.

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Darts Forecasting Model Style Guide

Reference guide extracted from CONTRIBUTING.md and existing model implementations Created: 2025-11-05

Core Principles (from CONTRIBUTING.md)

Focus on simplicity and clarity for end users
Design the best possible API, simple by default
Make it hard for users to make mistakes

Foundation Models Integration Design for Darts

Issue: #2933: Foundation Models Integration Last Updated: November 5, 2025

Problem Statement

Time series foundation models (TSFMs) like TimesFM, Chronos 2, Moirai, and TimeGPT each provide different APIs. Users wanting to compare models or switch between them must reimplement evaluation pipelines for each model. This creates friction and limits experimentation.

As @hrzn noted: "Darts could be a great neutral ground for multiple TSFMs under a unified API."

Keybase proof

I hereby claim:

I am nehalecky on github.
I am nehalecky (https://keybase.io/nehalecky) on keybase.
I have a public key whose fingerprint is 6A39 BED6 5A62 A515 5346 AC64 BD37 C15A 8575 88C0

To claim this, I am signing this object:

	#!/bin/bash
	set -e

	if [[ ! -v CONDA_INSTALL_PATH ]]; then
	echo "CONDA_INSTALL_PATH not set, setting ..."
	CONDA_INSTALL_PATH="/usr/local/bin/miniconda"
	echo "Set CONDA_INSTALL_PATH to $CONDA_INSTALL_PATH"
	fi
	# 0. Specify Miniconda version
	## 0.1 A few parameters

	#!/bin/bash
	apt-get -y install python3
	echo "export PYSPARK_PYTHON=python3" \| tee -a /etc/profile.d/spark_config.sh /etc/*bashrc
	echo "export PYTHONHASHSEED=123" \| tee -a /etc/profile.d/spark_config.sh /etc/*bashrc /usr/lib/spark/conf/spark-env.sh
	source ~/.bashrc

	# Can be copied to ~/.ipython/profile_default/startup/
	import pandas as pd
	import numpy as np

	# Add plotly
	import plotly
	import plotly.plotly as py
	from plotly.graph_objs import *
	from plotly.offline import download_plotlyjs, init_notebook_mode, iplot
	print("Plotly version: " + plotly.__version__) # version 1.9.x required