What's on Histolines

Histolines is designed for the everyday user to add events to its knowledge base, but we had to start with something. To create a skeleton of data we crawled the internet looking for every historical fact we can get our hands on, and we still continue this today to enrich what histolines knows. So far we have over 900K events for over 100K people throughout history. These are around 200 event types which describe what happened to the particular person or state at any given time and place.

We are working to provide this database free for everybody in an open source format so that people have access to this information to perform their analysis and visualization.

Histolines has a large collection of birthdays and death dates, list of most major world leaders throughout time, most of US presidents, Supreme Court justices, Senators and Representatives time in office (we are currently working on other countries like Canada and Brittan), most of the movies released in the US, most of the Music Albums released throughout time, most of Oscars nominations and winners, most of Roman Consuls and various other detail that cannot be grouped into a category but should be discovered on your own. We are working on digging for a lot more information, such as Olympic history, other sports results, and trades, list of other countries politicians, patent history and whatever kind of data we can get our hands on. Please email us with suggestions of datasets or datasets themselves that we can incorporate into Histolines. But most of the information in the world especially from the past has not been collected into neat tables. That’s why Histolines is so important, as it is the only place for people to compile events of the people who lived in the past into one data-driven knowledge base, so that people can use data analytics techniques to better understand our past, and for the average Joe to be able to access his own history.

What do you get

All the data on histolines is available to the public on our Github Repository or our data.world dataset Histolines.com is an open-source platform where anyone can contribute to a growing database of historical events. Our goal is to create a comprehensive and collaborative resource that supports historical research and education.

We encourage contributors to add events, and in return, we provide an aggregated dataset of all submissions, available here. This data can be used freely to expand the scope of historical research or for personal projects.

How You Can Contribute:

Add individual events directly via our website.

Bulk addition: If you have a large dataset, email us, and we’ll help integrate it into our database.

For more information about our data structure and guidelines for contributing, please visit our website.

Let’s make history accessible for everyone—join us in expanding this open resource!

Major contirbutions

We constantly look for data sets we can use to enrich our timelines. We have crawled several open source databases, museum archives, and variety of other datasources to add to our timeline database. We also encourage everyday users to add individual events to the database. Below is the list of some of the biggest contributors to histolines knowladgebase.

Data types

Histolines organizes data by name, date, location and what happened. Theese are some of the most common tags of what happend in each event.

What do we need

Histolines focuses on people and states and events that have occurred to them which do disqualify so data from it. We are a lot more interested in what JFK was buying in a store while a teen them GDP of US during those same years, or how many deaths occurred in Chicago. Let statistics be reported when they are suited this is a place for specific events, not generalizations. It’s much more interesting to know that George W. Bush was elected President in 2000 and 2004 when he was The President for 8 years. It might seem like a slight difference but it allows us to use each piece of information to create content to whatever was happening at the same time and eventually in the same are.