Socrata actually isn't built on top of an existing spreadsheet application or platform. We've built our own platform using a number of different open source technologies.
Customer data is stored in our backend, where we use different datastores in a sharded configuration to make sure queries are performant while data remains highly available and safe. Long ...
The User Agent Project is a research project consisting of a comprehensive list of unique user agent strings compiled since 2006. The UA Project is accessible as a specialized search engine.
Browscap's repository includes a User Agent Database Resource, althouth the wiki hasn't been updated since 2015. Browscap has had updates as recently as 2017-06, but ...
Hackathon Watch - not specific to open source or open data though
European PSI / Open Data Events - European, not global
Lanyard's Open Data and Open Source lists (can be saved to your calendar, see the right column)
(please edit if you want to add a calendar)
Here are a few sources to take a look through:
Most comprehensive and closest to what I think you're looking for is a project by the acronym of PROMISE (PRedictOr Models In Software Engineering). Go to http://promisedata.googlecode.com/svn/trunk/defect/ to go straight to their data which is organized by code base and into CSVs. For example, tomcat.csv. It ...
Here's an example from the NIH in 2008. Basically, the NIH learned that in some cases a clever algorithm could identify medical patients from two sets of open medical data. This is an early case in which attempted anonymization turned out to be insufficient.
FYI, here's my blog post about it at the time....
You can get release dates of versions/iterations at http://en.wikipedia.org/wiki/Adobe_Creative_Suite but I think you'll need to use a combination of Google and The Wayback Machine by archive.org to find pricing.
Also see http://www.computerworld.com/article/2517120/enterprise-applications/adobe-creative-suite--the-history.html
Github is the de facto internet repository for open source code. They've released source code data from packages hosted on this site (press release, blog post with examples).
The data is available as part of Google BigQuery (details). Example queries are here. You can run queries in the browser (requires google account)
This 3TB+ dataset comprises the ...
One you'll probably remember - Wikimedia released (CC0) search logs in 2012, realised they were insufficiently anonymised, and took them down the same day:
There's probably quite a few more cases like this, where the dataset has been removed shortly ...
I am not sure how you would determine lasting code, but not to sway you from trying, there are a couple of data-sets:
tera-PROMISE is a research dataset repository specializing in software engineering research datasets.
Eclipse Bug Data! is a dataset that is said to be able to trace errors to developer
NASA Software results and analyses of the NASA Dataset ...
Note: This answer only covers a particular aspect of code quality.
OpenHub (ex Ohloh) contains 666,192 projects and mentions for each one:
The number of comment lines
The total number of lines
The programming language used (or proportions if several used)
So, you can use that data to compute the comment/code ratio for many programming languages.
In today's modern world we think less about the file extensions (suffix) and classify files by their 'Media Type' (formerly MIME type). IANA is the official repository for registering media types. The most complete list ( as of March 5, 2015) is here:
This third-party page which lists MIME types ...
Not sure if this fits your requirement, but the Enron Email Dataset comes to mind. There are multiple locations where you can learn about the dataset, i.e. here: https://www.cs.cmu.edu/~./enron/
The initially published dataset got cleaned because some information was too sensitive.
I can think of one instance that once open data was subsequently removed from public use in future iterations. Unfortunately I don't remember the specifics, but it involved the outcome of trials for criminal cases in a Midwestern state I can't at this moment recall. Not all of it was redacted in more recent releases, but the name of the judge and any other ...
I tried publishing the statistics of one Android app on DataHub:
No automatic import from Google Play, which makes this no-go in the long term.
No graphs or anything are generated from the statistics.
CSV preview works, even though it is very limited.
Web upload is very time-consuming, but there ...
make a github repo, save your data there:
you can upload virtually any format, including csv ->
bonus! github displays csvs in the browser!
also manually editing csvs in the browser on github is actually pretty straightforward.
you could also just upload them to google drive/docs and share/publish the data there....
You might consider using the EVENT table from the Mozilla Labs "Day in the Life of a Browser" dataset.
Unfortunately the download links are inactive. But this dataset has come up on another question and hopefully Mozilla will fix it soon.
License is Creative Commons Attribution 3.0 United States.
UPDATE: data is now hosted here
you can look at the software-artifacts infrastructure repository. this repository contains open source software with manually injected faults,test cases and scripts. This repository is available for everyone to use, we can conduct controlled experiments on these fault injected software.
Here is a blog post that compares 16 graph digitizing tools, some free, some not. The suggestion is to use WebPlotDigitizer. The blog doesn't mention if any of the tools can be used to automate the process.
To read an image file and process the data, then you probably want to use a programming language. Python or R-digitize are good places to start.
Social Media APIs are prime examples here; literally most of them have done this, with the exception of flickr.
Details differ for each, but essentially these companies make API consumption easy/cheap/something else to entice developers to mash it up with something, to generate excitement about their service(s). Then at some point after they decide to ...
I've found so far this: Massive list of user agents for User Agent Switcher by Chris Pederik.
It's in XML format and it's grouped based on the browser and the device type. It has 602 entries.
Here are some other copies:
https://mvnrepository.com lets you know how many times a particular Java library has been downloaded, with a breakdown for each version, see the "Usages" column for Log4j:
... and for its competitor LogBack:
Obviously, you have to divide the number of downloads by the duration the library has been available (date column) and consider that people continue ...
I had not previously known about the Brigham Young Corpus of Contemporary American English and its companion, wordfrequency.info. Only their 5000 word list is offered at no cost, and that seems to be lacking the words you seek, so it's a near-miss for this website, but it still seems useful enough to mention, especially because the costs are not exorbitant.
I don't know about a single list that would do what you're looking for, but the Oxford English Dictionary posts a 'new words list' a few times a year. They have back to March 2000 posted online.
Many of the OED 'new words' are compound words or new senses (meanings for existing terms), so they may not result in a need to add a 'new word' for a spelling ...
Here's a relatively well known one:
AOL issued an apology yesterday for posting on a public Web site 20
million keyword searches conducted by hundreds of thousands of its
subscribers from March to May. But the company's admission that it
made a mistake did little to quell a barrage of criticism from
bloggers and privacy advocates who questioned ...
I am not sure of how Japan handles exports but the US Dept of Commerce Bureau of Industry and Security (BIS) has a list of 10 Commerce Control List Categories and these are broken into 5 Product Groups
It looks like software is a Product Group and this means it would need to be aggregated across categories.
The staff at BIS may be your best bet on ...
This Google Calendar contains most Open Source-related events in Japan:
Most events (but not all) are about Open Source topics.