jtlandis/ggside — Ggplot2 extension allowing for plotting various geometries as side panels using the ggplot2 API

Description and use

**Brief Summary (2‑3 sentences)**
jtlandis/ggside is an R package that extends **ggplot2** by letting you add side‑panel geometries (e.g., marginal histograms, density plots, boxplots) directly through the familiar ggplot2 API. The extension simplifies the creation of composite visualisations without having to stitch together multiple plots manually.

**Value Proposition**

• **Accelerates visual‑analytics development** – data scientists can reuse a single, well‑maintained library to produce richer, multi‑panel graphics, cutting the time spent on custom layout code.
• **Standardises visual‑reporting** – because it follows the ggplot2 grammar, teams get a consistent look‑and‑feel across dashboards, reports, and exploratory notebooks.
• **Leverages existing ggplot2 ecosystem** – no new rendering engine is required; the package works with any ggplot2 theme, extensions, or output format (PDF, PNG, interactive Shiny, etc.).

**Practical Adoption Path**

| Step | Action | Why |
|------|--------|-----|
| 1️⃣ | **Pilot on a small dataset** – add ggside to an existing ggplot2 script (e.g., add geom_xsidehist() to a scatter plot). | Confirms compatibility with your current R environment and visual‑style conventions. |
| 2️⃣ | **Run the README examples** – verify that all dependencies install cleanly and that the generated plots match expectations. | Guarantees that the package builds on your CI/CD pipeline and that documentation is accurate. |
| 3️⃣ | **Create a proof‑of‑concept notebook** – build a reusable function (e.g., plot_with_marginals(df, x, y)) that wraps the ggside calls. | Provides a concrete artefact you can share with stakeholders and embed in internal dashboards. |
| 4️⃣ | **Integrate into a shared R package or internal library** – expose the wrapper as part of your team’s visual‑analytics toolkit. | Turns the pilot into a reusable component, reducing duplication across projects. |
| 5️⃣ | **Perform dependency & security audit** – check the license (MIT‑style), scan the repository for known vulnerabilities, and confirm that the maintainer is responsive. | Mitigates the “license / security posture” risk flagged in the review. |
| 6️⃣ | **Roll out to production pipelines** – add the wrapper to automated report generation or Shiny apps, monitoring for performance regressions. | Moves the feature from prototype to production while keeping a fallback to plain ggplot2 if needed. |

**Production Readiness Assessment**

• **Maturity:** Medium. The package has 357 stars and recent activity (last commit 2026‑05‑11), indicating an active community, but it is still primarily targeted at prototyping and internal analytics.
• **Dependencies:** Only standard ggplot2 and tidyverse packages, so the dependency surface is low; however, you should lock versions to avoid breaking changes.
• **Maintainability:** The repo shows modest fork activity (17 forks) and a clear README, but a deeper check of issue response times and maintainer availability is recommended before a critical production rollout.
• **Risk:** No obvious metadata or licensing issues, but a formal security scan and confirmation of the license compatibility with your organization’s policy are still required.

**Bottom Line**
ggside can quickly boost the visual‑analytics capabilities of any R‑centric data team, especially when side‑panel plots are a recurring need. Start with a small proof‑of‑concept, validate the dependency and security posture, then encapsulate the functionality in an internal library for broader use. With those safeguards in place, the package is suitable for production‑grade reporting and dashboarding, albeit with a modest “medium” readiness rating.

Problem

jtlandis/ggside helps teams reuse service infrastructure instead of rebuilding common backend pieces.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• ship API services faster
• reuse backend infrastructure
• standardize service patterns

Evidence

ggplot2 extension allowing for plotting various geometries as side panels using the ggplot2 API

Source