DingelNeiman-workathome VS OpenBBTerminal

Compare DingelNeiman-workathome vs OpenBBTerminal and see what are their differences.

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DingelNeiman-workathome OpenBBTerminal
1 211
99 26,121
- 1.0%
0.0 9.8
about 3 years ago 3 days ago
Stata Python
GNU General Public License v3.0 only MIT License
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DingelNeiman-workathome

Posts with mentions or reviews of DingelNeiman-workathome. We have used some of these posts to build our list of alternatives and similar projects.
  • 37% of jobs in the United States can be performed entirely at home
    1 project | news.ycombinator.com | 25 Mar 2022
    Dr. Dingel writes - "Our code makes it easy for users to explore alternative assumptions about whether any given occupation can be done from home."

    His repo - https://github.com/jdingel/DingelNeiman-workathome

    Would be a worthwhile student project to replicate this in R/pandas (They used Stata on a Mac, if you know what I mean) & have an interactive online plot so one can change the survey assumptions & see what results. Just collating all this data in one place is a monumental effort.

    I remember this paper was a "huge fucking deal" when it came out in Sep 2020. Has like ~1500 cites. Was used by Biden administration to set policy. Co-author Dr. Neiman was personally nominated by Biden for treasury. Authors are Booth school stalwarts. Pls do read the paper, very insightful even if you don't agree with its methodology/conclusions.

OpenBBTerminal

Posts with mentions or reviews of OpenBBTerminal. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-14.

What are some alternatives?

When comparing DingelNeiman-workathome and OpenBBTerminal you can also consider the following projects:

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GamestonkTerminal - Investment Research for Everyone, Everywhere. [Moved to: https://github.com/OpenBB-finance/OpenBBTerminal]

fear-greed-index - Python CNN Fear and Greed Index wrapper

akshare - AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Reddit

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 Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

jupyterlab_templates - Support for jupyter notebook templates in jupyterlab

akshare - AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库 [Moved to: https://github.com/akfamily/akshare]

gme-terminal - GME and other stocks investor holdings

IMPORTJSONAPI - Use JSONPath to selectively extract data from any JSON or GraphQL API directly into Google Sheets.

tl - The compiler for Teal, a typed dialect of Lua