scholarly journals A SEMI-AUTOMATIC PROCEDURE FOR A DEMOGRAPHIC ANALYSIS OF THE FOSS4G DEVELOPERS’ COMMUNITY

2018 ◽  
Vol XLII-4/W8 ◽  
pp. 171-174
Author(s):  
D. Oxoli ◽  
H.-K. Kang ◽  
M. A. Brovelli
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Source Code ◽  
Application Programming Interface ◽  
Demographic Analysis ◽  
Software Applications ◽  
Individual Project ◽  
Application Programming ◽  
Programming Interface ◽  
The Web

<p><strong>Abstract.</strong> The open and direct collaboration at the creation, improvement, and documentation of source code and software applications &amp;ndash; enabled by the web &amp;ndash; is recognized as a peculiarity of the Free and Open Source Software for Geospatial (FOSS4G) projects representing, at the same time, one of their main strengths. With this in mind, it turns out to be interesting to perform an extensive monitoring of both the evolution and the geographical arrangement of the developers’ communities in order to investigate their actual extension, evolution and degree of activity. In this work, a semi-automatic procedure to perform this particular analysis is described. The procedure is mainly based on the use of the GitHub Search Application Programming Interface by means of JavaScript custom modules to perform a census of the users registered with a collaborator role to the repositories of the most popular FOSS4G projects, hosted on the GitHub platform. The collected data is processed and analysed using Python and QGIS. The results &amp;ndash; presented through tables, charts, and thematic maps &amp;ndash; allow describing both dimensions as well as the geographical heterogeneity of the contributing community of each individual project, while enabling to identify the most active countries &amp;ndash; in terms of the number of contributors &amp;ndash; in the development of the most popular FOSS4G. The limits of the analysis, including technical constraints and considerations on the significance of the developers' census, are finally highlighted and discussed.</p>

scholarly journals Tibanna: software for scalable execution of portable pipelines on the cloud

2018 ◽  
Author(s):  
Soohyun Lee ◽  
Jeremy Johnson ◽  
Carl Vitzthum ◽  
Koray Kırlı ◽  
Burak H. Alver ◽  
...  
Keyword(s):  
Web Services ◽  
Open Source ◽  
Open Source Software ◽  
Source Code ◽  
Software Tool ◽  
Application Programming Interface ◽  
Description Language ◽  
Amazon Web Services ◽  
Application Programming ◽  
Programming Interface

AbstractSummaryWe introduce Tibanna, an open-source software tool for automated execution of bioinformatics pipelines on Amazon Web Services (AWS). Tibanna accepts reproducible and portable pipeline standards including Common Workflow Language (CWL), Workflow Description Language (WDL) and Docker. It adopts a strategy of isolation and optimization of individual executions, combined with a serverless scheduling approach. Pipelines are executed and monitored using local commands or the Python Application Programming Interface (API) and cloud configuration is automatically handled. Tibanna is well suited for projects with a range of computational requirements, including those with large and widely fluctuating loads. Notably, it has been used to process terabytes of data for the 4D Nucleome (4DN) Network.AvailabilitySource code is available on GitHub at https://github.com/4dn-dcic/tibanna.

scholarly journals KOFFI and Anabel 2.0—a new binding kinetics database and its integration in an open-source binding analysis software

Database ◽  
2019 ◽  
Vol 2019 ◽  
Author(s):  
Leo William Norval ◽  
Stefan Daniel Krämer ◽  
Mingjie Gao ◽  
Tobias Herz ◽  
Jianyu Li ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Application Programming Interface ◽  
Extraction Methods ◽  
Binding Kinetics ◽  
Binding Data ◽  
Meta Information ◽  
Application Programming ◽  
Kinetics Of ◽  
Programming Interface

Abstract The kinetics of featured interactions (KOFFI) database is a novel tool and resource for binding kinetics data from biomolecular interactions. While binding kinetics data are abundant in literature, finding valuable information is a laborious task. We used text extraction methods to store binding rates (association, dissociation) as well as corresponding meta-information (e.g. methods, devices) in a novel database. To date, over 270 articles were manually curated and binding data on over 1705 interactions was collected and stored in the (KOFFI) database. Moreover, the KOFFI database application programming interface was implemented in Anabel (open-source software for the analysis of binding interactions), enabling users to directly compare their own binding data analyses with related experiments described in the database.

scholarly journals Tibanna: software for scalable execution of portable pipelines on the cloud

2019 ◽  
Vol 35 (21) ◽  
pp. 4424-4426 ◽  
Author(s):  
Soohyun Lee ◽  
Jeremy Johnson ◽  
Carl Vitzthum ◽  
Koray Kırlı ◽  
Burak H Alver ◽  
...  
Keyword(s):  
Open Source Software ◽  
Source Code ◽  
Software Tool ◽  
Application Programming Interface ◽  
Supplementary Information ◽  
Supplementary Data ◽  
Description Language ◽  
Amazon Web Services ◽  
Application Programming ◽  
Programming Interface

Abstract Summary We introduce Tibanna, an open-source software tool for automated execution of bioinformatics pipelines on Amazon Web Services (AWS). Tibanna accepts reproducible and portable pipeline standards including Common Workflow Language (CWL), Workflow Description Language (WDL) and Docker. It adopts a strategy of isolation and optimization of individual executions, combined with a serverless scheduling approach. Pipelines are executed and monitored using local commands or the Python Application Programming Interface (API) and cloud configuration is automatically handled. Tibanna is well suited for projects with a range of computational requirements, including those with large and widely fluctuating loads. Notably, it has been used to process terabytes of data for the 4D Nucleome (4DN) Network. Availability and implementation Source code is available on GitHub at https://github.com/4dn-dcic/tibanna. Supplementary information Supplementary data are available at Bioinformatics online.

Python Earth Engine API as a new open-source ecosphere for characterizing offshore hydrocarbon seeps and spills

2021 ◽  
Vol 40 (1) ◽  
pp. 35-44
Author(s):  
Whitney Trainor-Guitton ◽  
Leo Turon ◽  
Dominique Dubucq
Keyword(s):  
Open Source ◽  
Application Programming Interface ◽  
Google Earth ◽  
Hydrocarbon Detection ◽  
Detection Algorithms ◽  
Hydrocarbon Seeps ◽  
Oil Seeps ◽  
Application Programming ◽  
Calculated Probability ◽  
Programming Interface

The Python Earth Engine application programming interface (API) provides a new open-source ecosphere for testing hydrocarbon detection algorithms on large volumes of images curated with the Google Earth Engine. We specifically demonstrate the Python Earth Engine API by calculating three hydrocarbon indices: fluorescence, rotation absorption, and normalized fluorescence. The Python Earth Engine API provides an ideal environment for testing these indices with varied oil seeps and spills by (1) removing barriers of proprietary software formats and (2) providing an extensive library of data analysis tools (e.g., Pandas and Seaborn) and classification algorithms (e.g., Scikit-learn and TensorFlow). Our results demonstrate end-member cases in which fluorescence and normalized fluorescence indices of seawater and oil are statistically similar and different. As expected, predictive classification is more effective and the calculated probability of oil is more accurate for scenarios in which seawater and oil are well separated in the fluorescence space.

scholarly journals Pengembangan Sistem Informasi Registrasi Mahasiswa Baru dengan Metode Analisis Gugus Kendali Mutu

2021 ◽  
Vol 10 (3) ◽  
pp. 191
Author(s):  
Santo Wijaya ◽  
Marta H.R.S.R. Sari ◽  
Adian Wihariono Putera
Keyword(s):  
Open Source ◽  
Application Programming Interface ◽  
Web Based ◽  
Application Programming ◽  
Programming Interface

Pendidikan sebagai industri produk dan jasa berbasis ilmu pengetahuan dan keterampilan menghadapi persaingan yang semakin kompetitif dengan banyaknya institusi baik dalam dan luar negeri yang operasional di Indonesia. Untuk meningkatkan daya saing, maka utilisasi teknologi informasi khususnya di era revolusi industri 4.0 menjadi kunci penting. Penelitian ini bertujuan untuk mengembangkan Sistem Informasi Registrasi Mahasiswa Baru (SIRMB) menggunakan kerangka open-source web-based application serta integrasinya dengan teknologi Application Programming Interface (API) Bank BNI menjadikan layanan administrasi yang terotomasi. Proses identifikasi masalah sampai perancangan solusi SIRMB menggunakan analisis gugus kendali mutu (QCC) dengan pendekatan metode Plan-Do-Check-Action (PDCA) sehingga menjamin perbaikan yang berkesinambungan. Penelitian ini berkontribusi terhadap perbaikan 76.9% terhadap proses kerja dengan eliminasi proses kerja manual registrasi mahasiswa baru, sehingga memberikan peningkatan kualitas layanan dan peningkatan produktivitas secara keseluruhan.

scholarly journals Arangopipe, a tool for machine learning meta-data management

Data Science ◽  
2021 ◽  
pp. 1-15
Author(s):  
Jörg Schad ◽  
Rajiv Sambasivan ◽  
Christopher Woodward
Keyword(s):  
Machine Learning ◽  
Life Cycle ◽  
Open Source ◽  
Data Model ◽  
Application Programming Interface ◽  
Learning Models ◽  
Essential Components ◽  
Application Programming ◽  
Programming Interface ◽  
Machine Learning Models

Experimenting with different models, documenting results and findings, and repeating these tasks are day-to-day activities for machine learning engineers and data scientists. There is a need to keep control of the machine-learning pipeline and its metadata. This allows users to iterate quickly through experiments and retrieve key findings and observations from historical activity. This is the need that Arangopipe serves. Arangopipe is an open-source tool that provides a data model that captures the essential components of any machine learning life cycle. Arangopipe provides an application programming interface that permits machine-learning engineers to record the details of the salient steps in building their machine learning models. The components of the data model and an overview of the application programming interface is provided. Illustrative examples of basic and advanced machine learning workflows are provided. Arangopipe is not only useful for users involved in developing machine learning models but also useful for users deploying and maintaining them.

An Approach to Facebook Post Analytics Using Python and Advance Open Source Tools

2018 ◽  
Vol 6 (6) ◽  
pp. 78
Author(s):  
Amit Sharma
Keyword(s):  
Open Source ◽  
Long Range ◽  
Data Extraction ◽  
Data Gathering ◽  
Application Programming Interface ◽  
Informal Communication ◽  
Standard Document ◽  
Kinship Networks ◽  
Application Programming ◽  
Programming Interface

The paper portrays the utilization of tools for data gathering and extraction that permits researchers to fare data in standard document groups from various areas of the facebook long range informal communication benefit. Kinship networks, gatherings, and pages can subsequently be breaking down quantitatively and subjectively with respect to demographical, post-demographical, and social qualities. The paper gives a review over expository headings opened up by the data made accessible, talks about stage particular parts of data extraction through the official Application Programming Interface, and quickly connects with the troublesome moral contemplations connected to this sort of research.

An API in JAVA Which Render Ease at Programming for Developers

2021 ◽  
Vol 1 (4) ◽  
pp. 27-31
Author(s):  
Bhuvan Agarwal ◽  
Soumyajeet Bhattacharjee ◽  
Sima Kar ◽  
Madhurima Saha ◽  
Vijay Kumar ◽  
...  
Keyword(s):  
Dynamic Programming ◽  
Open Source ◽  
Application Programming Interface ◽  
Development Environment ◽  
Application Programming ◽  
The Right ◽  
Almost All ◽  
Time And Space Complexity ◽  
Tree Traversals ◽  
Programming Interface

Abstract – Based on the concept of Application programming interface (API).This project comprises of a package named "algokit" which contains several algorithms based on the category of searching, sorting, dynamic programming, tree traversals and swapping. Keeping in mind that different algorithms from the same category have its own benefit in time and space complexity, This project covers almost all the algorithms known and available from each category. This would give the user several options to choose the right algorithm for its code.An user just requires to import the package named AlgoKit and call the functions inside it for a smooth programming experience. One of the prime objectives of this project is to build a kit that serves the purpose of reducing the number of lines of code and also reduce the time taken to run the same code elsewhere. It is platform independent and can be used in any open source Java development environment.

Web-Based Material Database for Material Selection and its Application Programming Interface (API) for CAD

2007 ◽  
Vol 345-346 ◽  
pp. 1593-1596 ◽  
Author(s):  
Doo Man Chun ◽  
Hyung Jung Kim ◽  
Jae Chul Lee ◽  
Sung Hoon Ahn
Keyword(s):  
Material Properties ◽  
Computer Aided Design ◽  
Material Selection ◽  
Application Programming Interface ◽  
Design Stage ◽  
Design Environment ◽  
Web Based ◽  
Application Programming ◽  
Programming Interface ◽  
The Web

Material selection became one of the important activities for engineers in design and manufacturing processes. A selected material at the beginning of design stage affects functionality of the designed part as well as manufacturability and cost of the final product. Unfortunately there are not many accessible material databases that can be properly used for design. In this research, a web-based material database was constructed. In order to assist designers to compare different materials, two-dimensional and three-dimensional graphs for comparison of material properties were provided via the web browser. Using these graphical tools, multi-dimensional comparison was available in more intuitive manner. In addition, this web site is open to the public, and one may add new material properties to the database in order to compare the data with existing materials. To provide the database in a commercial CAD (Computer Aided Design) environment, API (Application Programming Interface) modules were developed using Web services. The web-based material database can be accessible from http://fab.snu.ac.kr/matdb.

scholarly journals Automation of Data Consumption by Pluggable Module Software

2021 ◽  
Vol 23 (06) ◽  
pp. 1672-1681
Author(s):  
Vinay Balamurali ◽  
◽  
Prof. Venkatesh S ◽  
Keyword(s):  
Software Design ◽  
Data Science ◽  
Source Code ◽  
Application Programming Interface ◽  
Related Information ◽  
Server Systems ◽  
Data Consumption ◽  
Application Programming ◽  
Using Data ◽  
Programming Interface

Servers are required to monitor the health of the various I/O cards connected to it to alert the required personnel to service these cards. The Data Collection Unit (DCU) is responsible for detecting the I/O cards, sending their inventory as well as monitoring their health. Currently, the keys required to detect these I/O cards are manually coded into the source code. Such a task is highly laborious and time-consuming. To eliminate this manual work, a Software Pluggable Module was devised which would read the I/O card-related information from the I/O component list. This software design aims at using Data Science and OOPS concepts to automate certain tasks on server systems. The proposed methodology is implemented on a Linux system. The software design is modular in nature and extensible to accommodate future requirements. Such an automation framework can be used to track information maintained in Excel Spreadsheets and access them using an Application Programming Interface (API).

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