ScientoPy is a open-source Python based scientometric analysis tool. It has the following main characteristics:

ScientoPy is a open-source Python based scientometric analysis tool. It has the following main characteristics:

Import Clarivate Web of Science (WoS) and Scopus data set

Filter publications by document type

Merge WoS and Scopus data set based on a field tags correlation table

Find and remove duplicated documents

H-index extraction for the analyzed topics.

Country and institution extraction from author affiliations

Top authors, countries, or institutions based on first document's authors or all document's authors

Preprocessing brief graph and report table

Top topics and specific topics analysis Wildcard topics search

Trending topics using the top average growth rate (AGR)

Five different visualization graphs: bar, bar trends, timeline, evolution, and word cloud

Graphical user interface

Bibliometric analysis is growing research filed supported in different tools. Some of these tools are based on network representation or thematic analysis. Despite years of tools development, still, there is the need to support merging information from different sources and enhancing longitudinal temporal analysis as part of trending topic evolution. We carried out a new scientometric open-source tool called ScientoPy and demonstrated it in a use case for the Internet of things topic. This tool contributes to merging problems from Scopus and Clarivate Web of Science sources, extracts and represents h-index for the analysis topic, and offers a set of possibilities for temporal analysis for authors, institutions, wildcards, and trending topics using four different visualizations options. This tool enables future bibliometric analysis in different emerging fields. Wildcard topics search nisl augue. Curabitur vitae est ut sem luctus tristique. Suspendisse euismod sapien facilisis tellus aliquam pellentesque.