APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product. Learn more →
Top 8 Jupyter Notebook Econometric Projects
-
Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
-
AppSignal
Monitoring that respects your time & budget. APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product.
-
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of
-
Unsloth Desktop is what people have been waiting for. It's just been released as a beta. It's pretty much a single-click install. You download the installer and run it, and from there Unsloth Desktop handles everything else for you. Behind the scenes it scans your machine and determines what needs to be installed. It puts a wrapper around llama.cpp and MLX, which gives you all the power of the top open source models without having to manage the underlying tools. Unsloth Desktop will automatically detect if any of the tools have gotten any updates and will prompt you to install the updates.
-
Robyn
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community. (by facebookexperimental)
Project mention: Marketing Mix Modeling vs Multi-Touch Attribution: What to Use When | dev.to | 2025-10-21No. With modern tooling you can start MMM with tens of thousands per month in spend if you aggregate over enough weeks and keep your model parsimonious. Tools like Robyn and Gartner’s MMM guidance outline lightweight approaches.
-
fecon235
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
-
Econometrics-With-Python
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
-
Basic-Statistics-With-Python
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.
-
Kargo
Stop Scripting Promotions. Start Shipping with Kargo. Kargo automates promotion across dev, staging, and prod with approval gates and verification. Open source, built by the team behind Argo CD. Download now.
-
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Jupyter Notebook Econometrics discussion
Jupyter Notebook Econometrics related posts
-
Marketing Mix Modeling vs Multi-Touch Attribution: What to Use When
-
Show HN: Probabilistic hierarchical forecasting with statistical methods
-
Sh: Probabilistic hierarchical forecasting with statistical methods
-
Probabilistic and nonnegative methods for hierarchical forecasting in python are now available in Nixtla's HierachicalForecast
-
Probabilistic hierarchical reconciliation for time series
-
[D] Can anyone explain the MinTrace method for reconciliation of Hierarchical Time Series Forecast?
-
[D] Python's library to multivariate time series forecasting: Sktime, modeltime, darts.
-
A note from our sponsor - AppSignal
www.appsignal.com | 12 Sep 2026
Index
What are some of the best open-source Econometric projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | Financial-Models-Numerical-Methods | 7,143 |
| 2 | EconML | 4,781 |
| 3 | hyperlearn | 2,493 |
| 4 | Robyn | 1,512 |
| 5 | fecon235 | 1,274 |
| 6 | Econometrics-With-Python | 520 |
| 7 | Basic-Statistics-With-Python | 133 |
| 8 | Bayesian-Statistics-Econometrics | 90 |
Sponsored
Monitoring that respects your time & budget
APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product.
www.appsignal.com