Bitergia Software Development Analytics
Software Development Analytics use cases, tools and related stuff by Bitergia
Join Bitergia at Open Expo Europe 2018, the largest professional event within Free, Libre, Open Source Software and Open world economy sector in Spain. This year, OpenExpo18 will take place on the 6th and 7th of June in Madrid.
We are all prepared for this upcoming event, are you? Don’t miss a thing and be updated about all our activity. First of all, our Bitergians’ talks at OpenExpo18:
With more than 30 data sources supported, Perceval is one of the key GrimoireLab‘s components to get software project data in Bitergia Analytics. Let’s meet it…
Continue reading “Perceval: Software Project Data at Your Will”
The adoption of Python notebooks to perform data analysis has considerably increased, becoming a de-facto standard within data scientists communities. But, which Python libraries are used on them?
Continue reading “A Preliminary Analysis on the Use of Python Notebooks”
One more year, we attended to our traditional visit to FOSDEM and celebrated our classic GrimoireCon, which this year has become into CHAOSSCon! We want to share with you our experience with a recap from CHAOSSCon and also from the talks some of us gave at FOSDEM.
Continue reading “Highlights from CHAOSSCon + FOSDEM 2018”
In Bitergia we have a list of happy customers using the Metrics Grimoire toolset (fork them at GitHub!) to produce metrics about their communities. Tracking tech communities is not that simple and this needs of some infrastructure. And one of the main issues usually consists of aggregating all of the information.
And even more, is there a place where I can easily have a glimpse and check how my community is going?
The following is an example of the OPNFV community where the Git repositories, Gerrit projects, tickets from Jira, mailing lists, IRC channels and the Askbot instance is summarized in the entry page of the OPNFV dashboard.
The Bitergia toolset covers all of these issues with the retrieval of raw information, cleaning and massaging of the data and visualization. Indeed any of these steps are fully independent, what helps you to add any of your favourite tools in any of the several steps.
Let’s imagine that you’re interested in using your favourite visualization tool to play with the data. You can have direct access to the databases or to the post-processed data. It’s your data and Bitergia worries about providing a trustable service where all of the tools and data are open source.
